Event closed
hayaData 2022
June 7 | Habima Theatre, Tel-Aviv
Einat Orr, PhD
Co-Founder and CEO, Treeverse
Einat Orr is the co-founder and CEO of Treeverse, the company behind lakeFS, an open-source platform that delivers a Git-like experience to object-storage-based data lakes. Einat previously led several engineering organizations, most recently as the CTO of SimilarWeb. She holds a PhD in mathematics in the field of optimization in graph theory from Tel Aviv University.
Einat Orr is the co-founder and CEO of Treeverse, the company behind lakeFS, an open-source platform that delivers a Git-like experience to object-storage-based data lakes. Einat previously led several engineering organizations, most recently as the CTO of SimilarWeb. She holds a PhD in mathematics in the field of optimization in graph theory from Tel Aviv University.
Eilon Reshef
Co-Founder and Chief Product Officer, Gong.io
Eilon Reshef is a co-founder and Chief Product Officer at Gong, the leading revenue intelligence platform, unlocking reality to help people and companies reach their full potential. Before co-founding Gong, Eilon co-founded Webcollage, a SaaS solution in the e-commerce infrastructure space. Eilon holds an M.Sc. and B.Sc. in Computer Science (summa cum laude) from the Weizmann Institute of Science and the Technion.
Eilon Reshef is a co-founder and Chief Product Officer at Gong, the leading revenue intelligence platform, unlocking reality to help people and companies reach their full potential. Before co-founding Gong, Eilon co-founded Webcollage, a SaaS solution in the e-commerce infrastructure space. Eilon holds an M.Sc. and B.Sc. in Computer Science (summa cum laude) from the Weizmann Institute of Science and the Technion.
Shir Meir Lador
Data Science Group Manager, Intuit
Shir Meir Lador is a Data Science group manager at Intuit, a global leader in the industry of financial management software. Additionally, Shir is the co-founder of PyData Tel Aviv meetups, WiDS Tel Aviv ambassador, the co-host of “Unsupervised” (a podcast discussing data science in Israel), and gives talks at various machine learning and data science conferences and meetups. Shir holds an M.Sc. in electrical engineering and computers with a major in machine learning and signal processing from Ben-Gurion University.
Shir Meir Lador is a Data Science group manager at Intuit, a global leader in the industry of financial management software. Additionally, Shir is the co-founder of PyData Tel Aviv meetups, WiDS Tel Aviv ambassador, the co-host of “Unsupervised” (a podcast discussing data science in Israel), and gives talks at various machine learning and data science conferences and meetups. Shir holds an M.Sc. in electrical engineering and computers with a major in machine learning and signal processing from Ben-Gurion University.
Prof. Yoav Shoham
Co-Founder, AI21 Labs
Yoav Shoham is professor emeritus of computer science at Stanford University. A leading AI expert, Prof. Shoham is Fellow of AAAI, ACM and the Game Theory Society. Among his awards are the IJCAI Research Excellence Award, the AAAI/ACM Allen Newell Award, and the ACM/SIGAI Autonomous Agents Research Award. His online Game Theory course has been watched by close to a million people. Prof. Shoham has founded several AI companies, including TradingDynamics (acquired by Ariba), Katango and Timeful (both acquired by Google), and AI21 Labs. Prof. Shoham also founded the AI Index initiative (www.AIindex.org), which tracks global AI activity and progress.
Yoav Shoham is professor emeritus of computer science at Stanford University. A leading AI expert, Prof. Shoham is Fellow of AAAI, ACM and the Game Theory Society. Among his awards are the IJCAI Research Excellence Award, the AAAI/ACM Allen Newell Award, and the ACM/SIGAI Autonomous Agents Research Award. His online Game Theory course has been watched by close to a million people. Prof. Shoham has founded several AI companies, including TradingDynamics (acquired by Ariba), Katango and Timeful (both acquired by Google), and AI21 Labs. Prof. Shoham also founded the AI Index initiative (www.AIindex.org), which tracks global AI activity and progress.
Erez Lotan
VP R&D Platform, Skai
Reversim speaker since 2016. One time Reversim Moderator. Developer, Engineering Manager, Architect, Techie.
Reversim speaker since 2016. One time Reversim Moderator. Developer, Engineering Manager, Architect, Techie.
Moran Brody
Data Scientist, Riskified
Moran is a Data Scientist with a passion for data analysis and exploration. She has been fighting fraud at Riskified for more than six years, four of them as a team leader. Recently returned to hands-on work after missing data so much. She believes the only way to commute while the week is cycling but an expert jeep driver on weekends. A black cats lover and a proud mom.
Moran is a Data Scientist with a passion for data analysis and exploration. She has been fighting fraud at Riskified for more than six years, four of them as a team leader. Recently returned to hands-on work after missing data so much. She believes the only way to commute while the week is cycling but an expert jeep driver on weekends. A black cats lover and a proud mom.
Maggie Hays
DataHub Community Product Manager, Acryl Data
Maggie Hays is the Community Product Manager for DataHub and part of the Founding Team at Acryl Data. She is passionate about building resources that allow data to be accessible, intuitive, and impactful for a wide spectrum of end-users so organizations can fully realize the power of data-backed decisions. Maggie is enthusiastic about providing opportunities for others to explore new technology, work collaboratively, and pursue life-long learning. You can find her regularly organizing data-focused hackathons, design sprints, mentoring programs, and more.
Maggie Hays is the Community Product Manager for DataHub and part of the Founding Team at Acryl Data. She is passionate about building resources that allow data to be accessible, intuitive, and impactful for a wide spectrum of end-users so organizations can fully realize the power of data-backed decisions. Maggie is enthusiastic about providing opportunities for others to explore new technology, work collaboratively, and pursue life-long learning. You can find her regularly organizing data-focused hackathons, design sprints, mentoring programs, and more.
Sagi Goldshtein
Data Engineer, Meta
Sagi is a Data Engineer with a passion for finding simple solutions to complex problems. Sagi is part of Meta’s Central Growth DE team which is responsible for Meta’s growth accros the familiy of apps. He loves his job and most enjoys Meta’s culture where no one dares to have an opinion without backing it with data.
Sagi is a Data Engineer with a passion for finding simple solutions to complex problems. Sagi is part of Meta’s Central Growth DE team which is responsible for Meta’s growth accros the familiy of apps. He loves his job and most enjoys Meta’s culture where no one dares to have an opinion without backing it with data.
Gil Adirim
Head of Data, JoyTunes
In the biz since 2008, with a focus on leading data organizations since 2011. I’ve done quite a bit of 0-1 in small startups, and for the past 3.5 years have been doing 1-100 at JoyTunes as the head of a data guild which grew from just me to 22 (and continues to grow).
In the biz since 2008, with a focus on leading data organizations since 2011. I’ve done quite a bit of 0-1 in small startups, and for the past 3.5 years have been doing 1-100 at JoyTunes as the head of a data guild which grew from just me to 22 (and continues to grow).
Ruty Mundel
Senior Software Engineer, Meta
Ruty is a Senior Software Engineer at Meta, working on Meta’s internal Batch Pipelines framework. She is data-driven, interested in complicated, large-scale problems, coming to Meta after over 4 years in Google, where she improved the web as part of the Search Console team. Writing her first line of code in high school, she immediately got hooked, all the way to doing her M.Sc. in Computer Science with a thesis focused on modeling ride sharing markets with tolls to decrease road congestion.
Ruty is a Senior Software Engineer at Meta, working on Meta’s internal Batch Pipelines framework. She is data-driven, interested in complicated, large-scale problems, coming to Meta after over 4 years in Google, where she improved the web as part of the Search Console team. Writing her first line of code in high school, she immediately got hooked, all the way to doing her M.Sc. in Computer Science with a thesis focused on modeling ride sharing markets with tolls to decrease road congestion.
Elad Leev
Data Engineer, Riskified
Elad Leev is a Data Engineer with strong experience managing complex production operations, with expertise in distributed systems and databases. Elad likes to solve complicated problems around delivering real-time infrastructure in perpetual growth. Elad is part of Riskified’s Data Streams team, which is responsible for the performance, scale, and stability of Riskified’s large-scale data streaming platform. Elad is active in the Kafka community by talking at tech conferences, writing blog posts, and contributing to open-source projects, and he got elected as Confluent Community Catalyst for the class of 2021.
Elad Leev is a Data Engineer with strong experience managing complex production operations, with expertise in distributed systems and databases. Elad likes to solve complicated problems around delivering real-time infrastructure in perpetual growth. Elad is part of Riskified’s Data Streams team, which is responsible for the performance, scale, and stability of Riskified’s large-scale data streaming platform. Elad is active in the Kafka community by talking at tech conferences, writing blog posts, and contributing to open-source projects, and he got elected as Confluent Community Catalyst for the class of 2021.
Morris Feldman, PhD
Tech Lead, AppsFlyer
I researched epi-genetics as a post-doc at the Weizmann Institute in Israel after earning a PhD in Biophysics from University of California San Francisco. I left the world of academia to crack Big Data problems. That’s why I joined the AppsFlyer Dev team where I work with our Big Data using Spark through Clojure.
I researched epi-genetics as a post-doc at the Weizmann Institute in Israel after earning a PhD in Biophysics from University of California San Francisco. I left the world of academia to crack Big Data problems. That’s why I joined the AppsFlyer Dev team where I work with our Big Data using Spark through Clojure.
Gilit Saporta
Director of Fraud Analytics, DoubleVerify
Gilit Saporta is director of fraud analytics at DoubleVerify and a fraud fighting veteran with over 2 decades of experience in fraud prevention and intelligence. She has led and trained fraud analysts at FraudSciences, PayPal, Forter, and Simplex. Gilit actively advocates for collaboration between research teams to keep fraudsters at bay. She’s cohost of Fraud Fighters IL meetups and chair of the in-person track of Cyber Week FraudCON conference.
Gilit Saporta is director of fraud analytics at DoubleVerify and a fraud fighting veteran with over 2 decades of experience in fraud prevention and intelligence. She has led and trained fraud analysts at FraudSciences, PayPal, Forter, and Simplex. Gilit actively advocates for collaboration between research teams to keep fraudsters at bay. She’s cohost of Fraud Fighters IL meetups and chair of the in-person track of Cyber Week FraudCON conference.
Itamar Syn-Hershko
CTO and Founder, BigData Boutique
My passion is building innovative, scalable, and stable data platfoms for companies that make the world a better place. I spent the last decade or so building data platforms at scale, and then worked as a consultant and helped startups and large enterprises globally to do the same. Today as the CTO of BigData Boutique (https://bigdataboutique.com/) I lead a team of expert Big Data consultants and together we work hands-on with our customers to improve their journey in the data worlds, while leveraging a plethora of methodologies and technologies.
My passion is building innovative, scalable, and stable data platfoms for companies that make the world a better place. I spent the last decade or so building data platforms at scale, and then worked as a consultant and helped startups and large enterprises globally to do the same. Today as the CTO of BigData Boutique (https://bigdataboutique.com/) I lead a team of expert Big Data consultants and together we work hands-on with our customers to improve their journey in the data worlds, while leveraging a plethora of methodologies and technologies.
Efrat Garber Aran
Product Data Science, AI21 Labs
Efrat has a BA and MA in Hebrew literature from BGU, But after a short career in the fields of NGO’s and Renewal Judaism, she successfully retrained and became a Fraud Analyst at Paypal, and after that a Product Data Analyst at Lightricks. Now she is starting a new role as a Product Data Scientist at AI21 Labs.
Efrat has a BA and MA in Hebrew literature from BGU, But after a short career in the fields of NGO’s and Renewal Judaism, she successfully retrained and became a Fraud Analyst at Paypal, and after that a Product Data Analyst at Lightricks. Now she is starting a new role as a Product Data Scientist at AI21 Labs.
Amir Halatzi
Senior Data Engineer, Yotpo
Amir Halatzi is a software craftsman and aspiring public speaker working at Yotpo. He’s been spending the last 10 years moving data from here to there, working in domains spanning from sports to commerce and communications. Proud father of 2, sci-fi geek, and prefers tabs over spaces.
Amir Halatzi is a software craftsman and aspiring public speaker working at Yotpo. He’s been spending the last 10 years moving data from here to there, working in domains spanning from sports to commerce and communications. Proud father of 2, sci-fi geek, and prefers tabs over spaces.
Matityahu Sarafzadeh
Data Scientist Team Lead, Soluto
Matityahu is a Data Scientist Team Leader at Soluto with 6 years of experience in fields such as predictive analytics, cyber security, NLP, and computer vision. A public speaker with a strong passion for the world of AI and a curious self-learner. Grab me for a beer if you’d like to chat about basketball or some new Data Science techniques.
Matityahu is a Data Scientist Team Leader at Soluto with 6 years of experience in fields such as predictive analytics, cyber security, NLP, and computer vision. A public speaker with a strong passion for the world of AI and a curious self-learner. Grab me for a beer if you’d like to chat about basketball or some new Data Science techniques.
Hila Weisman-Zohar
Data Science Guild Master, Outbrain
Hila has been processing, analyzing, and generating algorithms for the past decade. After earning her masters (summa cum laude) at BIU NLP lab and publishing at elite academic venues such as EMNLP, she began to research & develop algorithms that analyze call center calls as a senior researcher at NICE. She published 4 US patents and presented academic posters at various venues during that time. For the past two years, she has worked as DS Guild Master & algorithm engineer at Outbrain, where she works on large-scale super-fast algorithms for the native ads field. Hila also loves to teach and share her experience and has talked at various meetups and conferences.
Hila has been processing, analyzing, and generating algorithms for the past decade. After earning her masters (summa cum laude) at BIU NLP lab and publishing at elite academic venues such as EMNLP, she began to research & develop algorithms that analyze call center calls as a senior researcher at NICE. She published 4 US patents and presented academic posters at various venues during that time. For the past two years, she has worked as DS Guild Master & algorithm engineer at Outbrain, where she works on large-scale super-fast algorithms for the native ads field. Hila also loves to teach and share her experience and has talked at various meetups and conferences.
Yigal Goldfine
VP Research & Algorithms, Pandologic
Vice President of Research and Algorithms working in the programmatic job advertising industry. Skilled in Data Science, Machine learning and algorithms both hands on and team management. Strong AI professional with two Bachelor of Science (BSc) degrees in Computer Science and Biotechnology engineering.
Vice President of Research and Algorithms working in the programmatic job advertising industry. Skilled in Data Science, Machine learning and algorithms both hands on and team management. Strong AI professional with two Bachelor of Science (BSc) degrees in Computer Science and Biotechnology engineering.
Uri Itai, PhD
Senior Data Scientist, TRST AI
Mathematician, algorithm developer and a data scientist. With experience in these fields. PhD in applied math and years of experience in companies and in the machine learning community. Passionate in the linkage of it. From theoretical mathematics to programing issues and product and management aspects. So, if you share interest with me do not be a stranger.
Mathematician, algorithm developer and a data scientist. With experience in these fields. PhD in applied math and years of experience in companies and in the machine learning community. Passionate in the linkage of it. From theoretical mathematics to programing issues and product and management aspects. So, if you share interest with me do not be a stranger.
Alexander Shereshevsky
ML Architect, Anodot
Machine Learning Architect, passionate about creating high-quality data products, massive data science topics, and scalable data pipelines. Over 15 years of experience with different data solutions development, data analysis, and data science projects. I experienced a wide range of machine learning products development, relational and NoSQL database platforms. I worked on different issues of MLOps and scalability, data system deployment on AWS/GCP, transactional systems, data warehousing, performance tuning, ETL processes, and data workflow management.
Machine Learning Architect, passionate about creating high-quality data products, massive data science topics, and scalable data pipelines. Over 15 years of experience with different data solutions development, data analysis, and data science projects. I experienced a wide range of machine learning products development, relational and NoSQL database platforms. I worked on different issues of MLOps and scalability, data system deployment on AWS/GCP, transactional systems, data warehousing, performance tuning, ETL processes, and data workflow management.
Doron Gurel
Head of Model Risk, Pagaya
Doron is a seasoned statistician and data scientist with experience in building data products bottom up at early-stage startups. For the last 3 years Doron has contributed to scaling Pagaya from 40 to 800+ employees by leading various Data Science and analytics teams throughout the model lifecycle from development through deployment and monitoring. At His current position Doron is heading the Model Risk group at Pagaya and helping to shape Pagaya’s AI product and offering for top tier banks.
Doron is a seasoned statistician and data scientist with experience in building data products bottom up at early-stage startups. For the last 3 years Doron has contributed to scaling Pagaya from 40 to 800+ employees by leading various Data Science and analytics teams throughout the model lifecycle from development through deployment and monitoring. At His current position Doron is heading the Model Risk group at Pagaya and helping to shape Pagaya’s AI product and offering for top tier banks.
Assaf Levinson
Head of Analytics, Stealth Mode Startup
Product and business oriented analytics professional with 10+ years of experience, 7 of them in building, leading and growing analytical teams and groups while working closely with product, R&D and business teams. Highly experienced with product analytics, business analytics, BI, AB tests (planning and analysis) and analytical work with data science teams and products.
Product and business oriented analytics professional with 10+ years of experience, 7 of them in building, leading and growing analytical teams and groups while working closely with product, R&D and business teams. Highly experienced with product analytics, business analytics, BI, AB tests (planning and analysis) and analytical work with data science teams and products.
Guy Smoilovsky
Co-Founder and CTO, DagsHub
Guy is a tech geek at heart and has spent most of his life working on various fields in tech – software, information security, data engineering, DevOps, and machine learning. He enjoys using this varied experience to find patterns, and bring new insights and useful tools to the world. Guy is currently the CTO & Co-Founder of DagsHub. It’s a platform that makes it easier for teams of data scientists and machine learning engineers to collaborate, especially on open source projects. DagsHub combines popular open-source tools and formats to version data, models, experiments, and code.
Guy is a tech geek at heart and has spent most of his life working on various fields in tech – software, information security, data engineering, DevOps, and machine learning. He enjoys using this varied experience to find patterns, and bring new insights and useful tools to the world. Guy is currently the CTO & Co-Founder of DagsHub. It’s a platform that makes it easier for teams of data scientists and machine learning engineers to collaborate, especially on open source projects. DagsHub combines popular open-source tools and formats to version data, models, experiments, and code.
Assaf Klein
Data Science Group Manager, Outbrain
Assaf is an experienced, hands on, software and algorithms manger with unique multidisciplinary knowledge and proven leading skills. He as a wide experience in design and implementation of machine learning, recommender systems, NLP, data mining and optimization algorithms. He has been managing and building small-medium diverse engineering teams for over a decade and currently he is Recommendations Data Science Manager, leading a diverse group of algorithm engineers in charge of improving the key KPIs of Outbrain’s recommender system.
Assaf is an experienced, hands on, software and algorithms manger with unique multidisciplinary knowledge and proven leading skills. He as a wide experience in design and implementation of machine learning, recommender systems, NLP, data mining and optimization algorithms. He has been managing and building small-medium diverse engineering teams for over a decade and currently he is Recommendations Data Science Manager, leading a diverse group of algorithm engineers in charge of improving the key KPIs of Outbrain’s recommender system.
Einat Orr, PhD
Co-Founder and CEO, Treeverse
Einat Orr is the co-founder and CEO of Treeverse, the company behind lakeFS, an open-source platform that delivers a Git-like experience to object-storage-based data lakes. Einat previously led several engineering organizations, most recently as the CTO of SimilarWeb. She holds a PhD in mathematics in the field of optimization in graph theory from Tel Aviv University.
Einat Orr is the co-founder and CEO of Treeverse, the company behind lakeFS, an open-source platform that delivers a Git-like experience to object-storage-based data lakes. Einat previously led several engineering organizations, most recently as the CTO of SimilarWeb. She holds a PhD in mathematics in the field of optimization in graph theory from Tel Aviv University.
Eilon Reshef
Co-Founder and Chief Product Officer, Gong.io
Eilon Reshef is a co-founder and Chief Product Officer at Gong, the leading revenue intelligence platform, unlocking reality to help people and companies reach their full potential. Before co-founding Gong, Eilon co-founded Webcollage, a SaaS solution in the e-commerce infrastructure space. Eilon holds an M.Sc. and B.Sc. in Computer Science (summa cum laude) from the Weizmann Institute of Science and the Technion.
Eilon Reshef is a co-founder and Chief Product Officer at Gong, the leading revenue intelligence platform, unlocking reality to help people and companies reach their full potential. Before co-founding Gong, Eilon co-founded Webcollage, a SaaS solution in the e-commerce infrastructure space. Eilon holds an M.Sc. and B.Sc. in Computer Science (summa cum laude) from the Weizmann Institute of Science and the Technion.
Shir Meir Lador
Data Science Group Manager, Intuit
Shir Meir Lador is a Data Science group manager at Intuit, a global leader in the industry of financial management software. Additionally, Shir is the co-founder of PyData Tel Aviv meetups, WiDS Tel Aviv ambassador, the co-host of “Unsupervised” (a podcast discussing data science in Israel), and gives talks at various machine learning and data science conferences and meetups. Shir holds an M.Sc. in electrical engineering and computers with a major in machine learning and signal processing from Ben-Gurion University.
Shir Meir Lador is a Data Science group manager at Intuit, a global leader in the industry of financial management software. Additionally, Shir is the co-founder of PyData Tel Aviv meetups, WiDS Tel Aviv ambassador, the co-host of “Unsupervised” (a podcast discussing data science in Israel), and gives talks at various machine learning and data science conferences and meetups. Shir holds an M.Sc. in electrical engineering and computers with a major in machine learning and signal processing from Ben-Gurion University.
Prof. Yoav Shoham
Co-Founder, AI21 Labs
Yoav Shoham is professor emeritus of computer science at Stanford University. A leading AI expert, Prof. Shoham is Fellow of AAAI, ACM and the Game Theory Society. Among his awards are the IJCAI Research Excellence Award, the AAAI/ACM Allen Newell Award, and the ACM/SIGAI Autonomous Agents Research Award. His online Game Theory course has been watched by close to a million people. Prof. Shoham has founded several AI companies, including TradingDynamics (acquired by Ariba), Katango and Timeful (both acquired by Google), and AI21 Labs. Prof. Shoham also founded the AI Index initiative (www.AIindex.org), which tracks global AI activity and progress.
Yoav Shoham is professor emeritus of computer science at Stanford University. A leading AI expert, Prof. Shoham is Fellow of AAAI, ACM and the Game Theory Society. Among his awards are the IJCAI Research Excellence Award, the AAAI/ACM Allen Newell Award, and the ACM/SIGAI Autonomous Agents Research Award. His online Game Theory course has been watched by close to a million people. Prof. Shoham has founded several AI companies, including TradingDynamics (acquired by Ariba), Katango and Timeful (both acquired by Google), and AI21 Labs. Prof. Shoham also founded the AI Index initiative (www.AIindex.org), which tracks global AI activity and progress.
Moran Brody
Data Scientist, Riskified
Moran is a Data Scientist with a passion for data analysis and exploration. She has been fighting fraud at Riskified for more than six years, four of them as a team leader. Recently returned to hands-on work after missing data so much. She believes the only way to commute while the week is cycling but an expert jeep driver on weekends. A black cats lover and a proud mom.
Moran is a Data Scientist with a passion for data analysis and exploration. She has been fighting fraud at Riskified for more than six years, four of them as a team leader. Recently returned to hands-on work after missing data so much. She believes the only way to commute while the week is cycling but an expert jeep driver on weekends. A black cats lover and a proud mom.
Maggie Hays
DataHub Community Product Manager, Acryl Data
Maggie Hays is the Community Product Manager for DataHub and part of the Founding Team at Acryl Data. She is passionate about building resources that allow data to be accessible, intuitive, and impactful for a wide spectrum of end-users so organizations can fully realize the power of data-backed decisions. Maggie is enthusiastic about providing opportunities for others to explore new technology, work collaboratively, and pursue life-long learning. You can find her regularly organizing data-focused hackathons, design sprints, mentoring programs, and more.
Maggie Hays is the Community Product Manager for DataHub and part of the Founding Team at Acryl Data. She is passionate about building resources that allow data to be accessible, intuitive, and impactful for a wide spectrum of end-users so organizations can fully realize the power of data-backed decisions. Maggie is enthusiastic about providing opportunities for others to explore new technology, work collaboratively, and pursue life-long learning. You can find her regularly organizing data-focused hackathons, design sprints, mentoring programs, and more.
Sagi Goldshtein
Data Engineer, Meta
Sagi is a Data Engineer with a passion for finding simple solutions to complex problems. Sagi is part of Meta’s Central Growth DE team which is responsible for Meta’s growth accros the familiy of apps. He loves his job and most enjoys Meta’s culture where no one dares to have an opinion without backing it with data.
Sagi is a Data Engineer with a passion for finding simple solutions to complex problems. Sagi is part of Meta’s Central Growth DE team which is responsible for Meta’s growth accros the familiy of apps. He loves his job and most enjoys Meta’s culture where no one dares to have an opinion without backing it with data.
Gil Adirim
Head of Data, JoyTunes
In the biz since 2008, with a focus on leading data organizations since 2011. I’ve done quite a bit of 0-1 in small startups, and for the past 3.5 years have been doing 1-100 at JoyTunes as the head of a data guild which grew from just me to 22 (and continues to grow).
In the biz since 2008, with a focus on leading data organizations since 2011. I’ve done quite a bit of 0-1 in small startups, and for the past 3.5 years have been doing 1-100 at JoyTunes as the head of a data guild which grew from just me to 22 (and continues to grow).
Ruty Mundel
Senior Software Engineer, Meta
Ruty is a Senior Software Engineer at Meta, working on Meta’s internal Batch Pipelines framework. She is data-driven, interested in complicated, large-scale problems, coming to Meta after over 4 years in Google, where she improved the web as part of the Search Console team. Writing her first line of code in high school, she immediately got hooked, all the way to doing her M.Sc. in Computer Science with a thesis focused on modeling ride sharing markets with tolls to decrease road congestion.
Ruty is a Senior Software Engineer at Meta, working on Meta’s internal Batch Pipelines framework. She is data-driven, interested in complicated, large-scale problems, coming to Meta after over 4 years in Google, where she improved the web as part of the Search Console team. Writing her first line of code in high school, she immediately got hooked, all the way to doing her M.Sc. in Computer Science with a thesis focused on modeling ride sharing markets with tolls to decrease road congestion.
Elad Leev
Data Engineer, Riskified
Elad Leev is a Data Engineer with strong experience managing complex production operations, with expertise in distributed systems and databases. Elad likes to solve complicated problems around delivering real-time infrastructure in perpetual growth. Elad is part of Riskified’s Data Streams team, which is responsible for the performance, scale, and stability of Riskified’s large-scale data streaming platform. Elad is active in the Kafka community by talking at tech conferences, writing blog posts, and contributing to open-source projects, and he got elected as Confluent Community Catalyst for the class of 2021.
Elad Leev is a Data Engineer with strong experience managing complex production operations, with expertise in distributed systems and databases. Elad likes to solve complicated problems around delivering real-time infrastructure in perpetual growth. Elad is part of Riskified’s Data Streams team, which is responsible for the performance, scale, and stability of Riskified’s large-scale data streaming platform. Elad is active in the Kafka community by talking at tech conferences, writing blog posts, and contributing to open-source projects, and he got elected as Confluent Community Catalyst for the class of 2021.
Morris Feldman, PhD
Tech Lead, AppsFlyer
I researched epi-genetics as a post-doc at the Weizmann Institute in Israel after earning a PhD in Biophysics from University of California San Francisco. I left the world of academia to crack Big Data problems. That’s why I joined the AppsFlyer Dev team where I work with our Big Data using Spark through Clojure.
I researched epi-genetics as a post-doc at the Weizmann Institute in Israel after earning a PhD in Biophysics from University of California San Francisco. I left the world of academia to crack Big Data problems. That’s why I joined the AppsFlyer Dev team where I work with our Big Data using Spark through Clojure.
Gilit Saporta
Director of Fraud Analytics, DoubleVerify
Gilit Saporta is director of fraud analytics at DoubleVerify and a fraud fighting veteran with over 2 decades of experience in fraud prevention and intelligence. She has led and trained fraud analysts at FraudSciences, PayPal, Forter, and Simplex. Gilit actively advocates for collaboration between research teams to keep fraudsters at bay. She’s cohost of Fraud Fighters IL meetups and chair of the in-person track of Cyber Week FraudCON conference.
Gilit Saporta is director of fraud analytics at DoubleVerify and a fraud fighting veteran with over 2 decades of experience in fraud prevention and intelligence. She has led and trained fraud analysts at FraudSciences, PayPal, Forter, and Simplex. Gilit actively advocates for collaboration between research teams to keep fraudsters at bay. She’s cohost of Fraud Fighters IL meetups and chair of the in-person track of Cyber Week FraudCON conference.
Itamar Syn-Hershko
CTO and Founder, BigData Boutique
My passion is building innovative, scalable, and stable data platfoms for companies that make the world a better place. I spent the last decade or so building data platforms at scale, and then worked as a consultant and helped startups and large enterprises globally to do the same. Today as the CTO of BigData Boutique (https://bigdataboutique.com/) I lead a team of expert Big Data consultants and together we work hands-on with our customers to improve their journey in the data worlds, while leveraging a plethora of methodologies and technologies.
My passion is building innovative, scalable, and stable data platfoms for companies that make the world a better place. I spent the last decade or so building data platforms at scale, and then worked as a consultant and helped startups and large enterprises globally to do the same. Today as the CTO of BigData Boutique (https://bigdataboutique.com/) I lead a team of expert Big Data consultants and together we work hands-on with our customers to improve their journey in the data worlds, while leveraging a plethora of methodologies and technologies.
Efrat Garber Aran
Product Data Science, AI21 Labs
Efrat has a BA and MA in Hebrew literature from BGU, But after a short career in the fields of NGO’s and Renewal Judaism, she successfully retrained and became a Fraud Analyst at Paypal, and after that a Product Data Analyst at Lightricks. Now she is starting a new role as a Product Data Scientist at AI21 Labs.
Efrat has a BA and MA in Hebrew literature from BGU, But after a short career in the fields of NGO’s and Renewal Judaism, she successfully retrained and became a Fraud Analyst at Paypal, and after that a Product Data Analyst at Lightricks. Now she is starting a new role as a Product Data Scientist at AI21 Labs.
Amir Halatzi
Senior Data Engineer, Yotpo
Amir Halatzi is a software craftsman and aspiring public speaker working at Yotpo. He’s been spending the last 10 years moving data from here to there, working in domains spanning from sports to commerce and communications. Proud father of 2, sci-fi geek, and prefers tabs over spaces.
Amir Halatzi is a software craftsman and aspiring public speaker working at Yotpo. He’s been spending the last 10 years moving data from here to there, working in domains spanning from sports to commerce and communications. Proud father of 2, sci-fi geek, and prefers tabs over spaces.
Matityahu Sarafzadeh
Data Scientist Team Lead, Soluto
Matityahu is a Data Scientist Team Leader at Soluto with 6 years of experience in fields such as predictive analytics, cyber security, NLP, and computer vision. A public speaker with a strong passion for the world of AI and a curious self-learner. Grab me for a beer if you’d like to chat about basketball or some new Data Science techniques.
Matityahu is a Data Scientist Team Leader at Soluto with 6 years of experience in fields such as predictive analytics, cyber security, NLP, and computer vision. A public speaker with a strong passion for the world of AI and a curious self-learner. Grab me for a beer if you’d like to chat about basketball or some new Data Science techniques.
Hila Weisman-Zohar
Data Science Guild Master, Outbrain
Hila has been processing, analyzing, and generating algorithms for the past decade. After earning her masters (summa cum laude) at BIU NLP lab and publishing at elite academic venues such as EMNLP, she began to research & develop algorithms that analyze call center calls as a senior researcher at NICE. She published 4 US patents and presented academic posters at various venues during that time. For the past two years, she has worked as DS Guild Master & algorithm engineer at Outbrain, where she works on large-scale super-fast algorithms for the native ads field. Hila also loves to teach and share her experience and has talked at various meetups and conferences.
Hila has been processing, analyzing, and generating algorithms for the past decade. After earning her masters (summa cum laude) at BIU NLP lab and publishing at elite academic venues such as EMNLP, she began to research & develop algorithms that analyze call center calls as a senior researcher at NICE. She published 4 US patents and presented academic posters at various venues during that time. For the past two years, she has worked as DS Guild Master & algorithm engineer at Outbrain, where she works on large-scale super-fast algorithms for the native ads field. Hila also loves to teach and share her experience and has talked at various meetups and conferences.
Yigal Goldfine
VP Research & Algorithms, Pandologic
Vice President of Research and Algorithms working in the programmatic job advertising industry. Skilled in Data Science, Machine learning and algorithms both hands on and team management. Strong AI professional with two Bachelor of Science (BSc) degrees in Computer Science and Biotechnology engineering.
Vice President of Research and Algorithms working in the programmatic job advertising industry. Skilled in Data Science, Machine learning and algorithms both hands on and team management. Strong AI professional with two Bachelor of Science (BSc) degrees in Computer Science and Biotechnology engineering.
Uri Itai, PhD
Senior Data Scientist, TRST AI
Mathematician, algorithm developer and a data scientist. With experience in these fields. PhD in applied math and years of experience in companies and in the machine learning community. Passionate in the linkage of it. From theoretical mathematics to programing issues and product and management aspects. So, if you share interest with me do not be a stranger.
Mathematician, algorithm developer and a data scientist. With experience in these fields. PhD in applied math and years of experience in companies and in the machine learning community. Passionate in the linkage of it. From theoretical mathematics to programing issues and product and management aspects. So, if you share interest with me do not be a stranger.
Alexander Shereshevsky
ML Architect, Anodot
Machine Learning Architect, passionate about creating high-quality data products, massive data science topics, and scalable data pipelines. Over 15 years of experience with different data solutions development, data analysis, and data science projects. I experienced a wide range of machine learning products development, relational and NoSQL database platforms. I worked on different issues of MLOps and scalability, data system deployment on AWS/GCP, transactional systems, data warehousing, performance tuning, ETL processes, and data workflow management.
Machine Learning Architect, passionate about creating high-quality data products, massive data science topics, and scalable data pipelines. Over 15 years of experience with different data solutions development, data analysis, and data science projects. I experienced a wide range of machine learning products development, relational and NoSQL database platforms. I worked on different issues of MLOps and scalability, data system deployment on AWS/GCP, transactional systems, data warehousing, performance tuning, ETL processes, and data workflow management.
Doron Gurel
Head of Model Risk, Pagaya
Doron is a seasoned statistician and data scientist with experience in building data products bottom up at early-stage startups. For the last 3 years Doron has contributed to scaling Pagaya from 40 to 800+ employees by leading various Data Science and analytics teams throughout the model lifecycle from development through deployment and monitoring. At His current position Doron is heading the Model Risk group at Pagaya and helping to shape Pagaya’s AI product and offering for top tier banks.
Doron is a seasoned statistician and data scientist with experience in building data products bottom up at early-stage startups. For the last 3 years Doron has contributed to scaling Pagaya from 40 to 800+ employees by leading various Data Science and analytics teams throughout the model lifecycle from development through deployment and monitoring. At His current position Doron is heading the Model Risk group at Pagaya and helping to shape Pagaya’s AI product and offering for top tier banks.
Assaf Levinson
Head of Analytics, Stealth Mode Startup
Product and business oriented analytics professional with 10+ years of experience, 7 of them in building, leading and growing analytical teams and groups while working closely with product, R&D and business teams. Highly experienced with product analytics, business analytics, BI, AB tests (planning and analysis) and analytical work with data science teams and products.
Product and business oriented analytics professional with 10+ years of experience, 7 of them in building, leading and growing analytical teams and groups while working closely with product, R&D and business teams. Highly experienced with product analytics, business analytics, BI, AB tests (planning and analysis) and analytical work with data science teams and products.
Guy Smoilovsky
Co-Founder and CTO, DagsHub
Guy is a tech geek at heart and has spent most of his life working on various fields in tech – software, information security, data engineering, DevOps, and machine learning. He enjoys using this varied experience to find patterns, and bring new insights and useful tools to the world. Guy is currently the CTO & Co-Founder of DagsHub. It’s a platform that makes it easier for teams of data scientists and machine learning engineers to collaborate, especially on open source projects. DagsHub combines popular open-source tools and formats to version data, models, experiments, and code.
Guy is a tech geek at heart and has spent most of his life working on various fields in tech – software, information security, data engineering, DevOps, and machine learning. He enjoys using this varied experience to find patterns, and bring new insights and useful tools to the world. Guy is currently the CTO & Co-Founder of DagsHub. It’s a platform that makes it easier for teams of data scientists and machine learning engineers to collaborate, especially on open source projects. DagsHub combines popular open-source tools and formats to version data, models, experiments, and code.
Assaf Klein
Data Science Group Manager, Outbrain
Assaf is an experienced, hands on, software and algorithms manger with unique multidisciplinary knowledge and proven leading skills. He as a wide experience in design and implementation of machine learning, recommender systems, NLP, data mining and optimization algorithms. He has been managing and building small-medium diverse engineering teams for over a decade and currently he is Recommendations Data Science Manager, leading a diverse group of algorithm engineers in charge of improving the key KPIs of Outbrain’s recommender system.
Assaf is an experienced, hands on, software and algorithms manger with unique multidisciplinary knowledge and proven leading skills. He as a wide experience in design and implementation of machine learning, recommender systems, NLP, data mining and optimization algorithms. He has been managing and building small-medium diverse engineering teams for over a decade and currently he is Recommendations Data Science Manager, leading a diverse group of algorithm engineers in charge of improving the key KPIs of Outbrain’s recommender system.
We usually optimize ML models for metrics like accuracy or precision. But can we really tell if this optimization leads us to the best solution for the problem? how can we really define what is the best model for a certain problem? In this talk, we saw how ML models that may seem optimal, can create discrimination. We reviewed common notions of fairness and show why it’s hard to even agree on what is objectively fair. We proposed a new notion of fairness, named ‘consistency score’, which is subjective to the problem at hand and will show how to select the top model, which is optimized both for accuracy as well as consistency. We also shared a python package – the bias detector – that can help any data scientist detect bias in the ML models they develop.
Take a look at your AWS bill, and you will probably find Hadoop, Spark, and Kafka at the top. According to Gartner Forecasts, the worldwide end-user spending on public cloud services is forecast to grow by 23% in 2021, to a total of $332B. As organizations evolve and grow, data rates grow too, as do consequent cloud costs. In this talk, we addressed exactly this problem. We understood what we are paying for, how to develop an economic mindset, where we can cut costs, and what we can proactively do to reduce our data infrastructure cost.
What is the connection between literature and data analysis? “The permanent entity is water“ said Thales, and literature researches will say that the permanent entity is text – including data. My professional track wasn’t standard – after a B.A. and M.A. in Hebrew literature, I went to work as a data analyst in high tech. Along the way I learned that there is, surprisingly, a link between the two fields. In this lecture, I talked about this connection, by analyzing a data set and a poem together with you, with some literature analysis tools. I showed that translation, interpretation, and motifs from the world of literature can help to better understand the “text” – the big data.
Maintaining a modern data platform is a difficult task, and a big chunk of it being difficult is the challenge of ruling the data, storing and updating metadata, and creating observability around it. A fancy word for this would be Data governance. I'm going to talk about the challenge of governing data in a data lake distributed environment and how we do it in Yotpo.
The goal of this presentation is making you question the way you trust yourself around data and numbers. If following this talk you will pause before automatically jump to conclusions and take a deeper look I will consider it as a success. I will take you through some fascinating examples including near sighted children, AB tests and Nicholas cage to demonstrate how even our basic perception of data and numbers might be misleading and can make us make the wrong decision.
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