Save the date
May 16, Tel-Aviv
hayaData 2023 is coming
Creating a Community of Curiosity
About hayaData
hayaData conference is a not-for-profit event built for the data engineering, data science, BI, and data analytics communities. It is the place to hear insights from leading speakers, learn about the newest industry tools, and get best practices for working with big data.
We <3 data and we created this conference with the goal of bringing together the data community, data engineers & scientists, developers, researchers, and everyone interested in big data, to share knowledge and mingle. Every fan of data is invited.
Speakers
Ritvik Kharkar
Data Scientist, ZipRecruiter
Ritvik is a Data Scientist at ZipRecruiter where he works on challenging problems in the Search space to bring a great experience to jobseekers. In his free time, he enjoys cooking and working on his data science focussed YouTube channel of 10+ years.
Ritvik is a Data Scientist at ZipRecruiter where he works on challenging problems in the Search space to bring a great experience to jobseekers. In his free time, he enjoys cooking and working on his data science focussed YouTube channel of 10+ years.
Denise Schlesinger
Principal Cloud Solution Architect, Microsoft
Denise Schlesinger is a Principal Solution Architect at Microsoft. She loves solving complex problems with the right architecture, building distributed applications that can scale. She believes in enabling organizations to make decisions based on data Denise likes speaking at tech conferences, meetups and writing technical blogs.
Denise Schlesinger is a Principal Solution Architect at Microsoft. She loves solving complex problems with the right architecture, building distributed applications that can scale. She believes in enabling organizations to make decisions based on data Denise likes speaking at tech conferences, meetups and writing technical blogs.
Itai Yaffe
Senior Big Data Architect, Akamai
Itai Yaffe is a Senior Big Data Architect at Akamai. Prior to Akamai, Itai was a Senior Solutions Architect at Databricks, a Principal Solutions Architect at Imply, and a big data tech lead at Nielsen Identity, where he dealt with big data challenges using tools like Spark, Druid, Kafka, and others. He is also a part of the Israeli chapter’s core team of Women in Big Data. Itai is keen on sharing his knowledge and has presented his real-life experience in various forums in the past.
Itai Yaffe is a Senior Big Data Architect at Akamai. Prior to Akamai, Itai was a Senior Solutions Architect at Databricks, a Principal Solutions Architect at Imply, and a big data tech lead at Nielsen Identity, where he dealt with big data challenges using tools like Spark, Druid, Kafka, and others. He is also a part of the Israeli chapter’s core team of Women in Big Data. Itai is keen on sharing his knowledge and has presented his real-life experience in various forums in the past.
Tal Laron
Data Science Team Lead, Riskified
Tal Laron is a Data Science Team Lead at Riskified, responsible for Riskified’s models and DS components. Tal has extensive data science experience across multiple fields, and, before Riskified, she worked in several startups. Tal holds a B.Sc in statistics and economics from the Tel Aviv University and a master’s degree in financial economics, a global program from the Reichman University. As a former gymnast she enjoys sports and sporting events, beside her great love for data and sports, she is a mother of two, Assaf & Noa.
Tal Laron is a Data Science Team Lead at Riskified, responsible for Riskified’s models and DS components. Tal has extensive data science experience across multiple fields, and, before Riskified, she worked in several startups. Tal holds a B.Sc in statistics and economics from the Tel Aviv University and a master’s degree in financial economics, a global program from the Reichman University. As a former gymnast she enjoys sports and sporting events, beside her great love for data and sports, she is a mother of two, Assaf & Noa.
Alon Agmon
Engineering Group Lead, AppsFlyer
Senior engineering manager. Leading the Biz Data & Dev group @ AppsFlyer. Have been managing data engineering and data science teams over the past few years, and handling exceptions for more than a decade. Intrigued by functional programming, distributed systems, and the big data ecosystem. Fearless adopter of cutting edge data technologies.
Senior engineering manager. Leading the Biz Data & Dev group @ AppsFlyer. Have been managing data engineering and data science teams over the past few years, and handling exceptions for more than a decade. Intrigued by functional programming, distributed systems, and the big data ecosystem. Fearless adopter of cutting edge data technologies.
Inna Weiner
Senior Engineering Manager, Google
Inna Weiner is a senior technical leader with 20+ years of global experience. A big data expert, specializing in data processing, storage, access, insider risk, privacy and policy compliance. During her 15 years at Google, Inna led engineering teams in consumer and enterprise products including Google Sites, Google Search and Google Analytics. Most recently she led the Google Search Analytics Data Warehouse, growing her organization 10x from 5 to 50. Inna enjoys building diverse engineering organizations, with common vision, growth strategy and inclusive culture. Inna spent the last 6 years in Google Mountain View, and recently relocated back to Israel to lead GCP Database Migration Service.
Inna Weiner is a senior technical leader with 20+ years of global experience. A big data expert, specializing in data processing, storage, access, insider risk, privacy and policy compliance. During her 15 years at Google, Inna led engineering teams in consumer and enterprise products including Google Sites, Google Search and Google Analytics. Most recently she led the Google Search Analytics Data Warehouse, growing her organization 10x from 5 to 50. Inna enjoys building diverse engineering organizations, with common vision, growth strategy and inclusive culture. Inna spent the last 6 years in Google Mountain View, and recently relocated back to Israel to lead GCP Database Migration Service.
Tali Fulman
Head of Data Guild, Simply
Tali is Head of Data Guild at Simply (formerly Joytunes). She has over 10 years in the fields of data, first as a hands-on analyst and later as senior management. As one of the leading forces in the Israeli data community, Tali co-founded Data Queens, a non-profit Israeli community for women in the fields of data which has over 1300 members. Her community involvement includes presenting at events, teaching in courses and producing meetups and conferences. Tali holds a degree in Statistics from Tel Aviv University.
Tali is Head of Data Guild at Simply (formerly Joytunes). She has over 10 years in the fields of data, first as a hands-on analyst and later as senior management. As one of the leading forces in the Israeli data community, Tali co-founded Data Queens, a non-profit Israeli community for women in the fields of data which has over 1300 members. Her community involvement includes presenting at events, teaching in courses and producing meetups and conferences. Tali holds a degree in Statistics from Tel Aviv University.
Dr. Asi Messica
VP Data Science, Lightricks
Dr. Asi Messica is VP Data Science at Lightricks and a lecturer at Reichman University. Before joining Lightricks, she held various data science, product, and development management positions at Fiverr, SAP, RSA, and more. She pursued her Ph.D. in the area of Recommender Systems at Ben-Gurion University. Her professional interests include machine learning, personalization, information retrieval, NLP, and reinforcement learning.
Dr. Asi Messica is VP Data Science at Lightricks and a lecturer at Reichman University. Before joining Lightricks, she held various data science, product, and development management positions at Fiverr, SAP, RSA, and more. She pursued her Ph.D. in the area of Recommender Systems at Ben-Gurion University. Her professional interests include machine learning, personalization, information retrieval, NLP, and reinforcement learning.
Ritvik Kharkar
Data Scientist, ZipRecruiter
Ritvik is a Data Scientist at ZipRecruiter where he works on challenging problems in the Search space to bring a great experience to jobseekers. In his free time, he enjoys cooking and working on his data science focussed YouTube channel of 10+ years.
Ritvik is a Data Scientist at ZipRecruiter where he works on challenging problems in the Search space to bring a great experience to jobseekers. In his free time, he enjoys cooking and working on his data science focussed YouTube channel of 10+ years.
Denise Schlesinger
Principal Cloud Solution Architect, Microsoft
Denise Schlesinger is a Principal Solution Architect at Microsoft. She loves solving complex problems with the right architecture, building distributed applications that can scale. She believes in enabling organizations to make decisions based on data Denise likes speaking at tech conferences, meetups and writing technical blogs.
Denise Schlesinger is a Principal Solution Architect at Microsoft. She loves solving complex problems with the right architecture, building distributed applications that can scale. She believes in enabling organizations to make decisions based on data Denise likes speaking at tech conferences, meetups and writing technical blogs.
Itai Yaffe
Senior Big Data Architect, Akamai
Itai Yaffe is a Senior Big Data Architect at Akamai. Prior to Akamai, Itai was a Senior Solutions Architect at Databricks, a Principal Solutions Architect at Imply, and a big data tech lead at Nielsen Identity, where he dealt with big data challenges using tools like Spark, Druid, Kafka, and others. He is also a part of the Israeli chapter’s core team of Women in Big Data. Itai is keen on sharing his knowledge and has presented his real-life experience in various forums in the past.
Itai Yaffe is a Senior Big Data Architect at Akamai. Prior to Akamai, Itai was a Senior Solutions Architect at Databricks, a Principal Solutions Architect at Imply, and a big data tech lead at Nielsen Identity, where he dealt with big data challenges using tools like Spark, Druid, Kafka, and others. He is also a part of the Israeli chapter’s core team of Women in Big Data. Itai is keen on sharing his knowledge and has presented his real-life experience in various forums in the past.
Tal Laron
Data Science Team Lead, Riskified
Tal Laron is a Data Science Team Lead at Riskified, responsible for Riskified’s models and DS components. Tal has extensive data science experience across multiple fields, and, before Riskified, she worked in several startups. Tal holds a B.Sc in statistics and economics from the Tel Aviv University and a master’s degree in financial economics, a global program from the Reichman University. As a former gymnast she enjoys sports and sporting events, beside her great love for data and sports, she is a mother of two, Assaf & Noa.
Tal Laron is a Data Science Team Lead at Riskified, responsible for Riskified’s models and DS components. Tal has extensive data science experience across multiple fields, and, before Riskified, she worked in several startups. Tal holds a B.Sc in statistics and economics from the Tel Aviv University and a master’s degree in financial economics, a global program from the Reichman University. As a former gymnast she enjoys sports and sporting events, beside her great love for data and sports, she is a mother of two, Assaf & Noa.
Alon Agmon
Engineering Group Lead, AppsFlyer
Senior engineering manager. Leading the Biz Data & Dev group @ AppsFlyer. Have been managing data engineering and data science teams over the past few years, and handling exceptions for more than a decade. Intrigued by functional programming, distributed systems, and the big data ecosystem. Fearless adopter of cutting edge data technologies.
Senior engineering manager. Leading the Biz Data & Dev group @ AppsFlyer. Have been managing data engineering and data science teams over the past few years, and handling exceptions for more than a decade. Intrigued by functional programming, distributed systems, and the big data ecosystem. Fearless adopter of cutting edge data technologies.
Inna Weiner
Senior Engineering Manager, Google
Inna Weiner is a senior technical leader with 20+ years of global experience. A big data expert, specializing in data processing, storage, access, insider risk, privacy and policy compliance. During her 15 years at Google, Inna led engineering teams in consumer and enterprise products including Google Sites, Google Search and Google Analytics. Most recently she led the Google Search Analytics Data Warehouse, growing her organization 10x from 5 to 50. Inna enjoys building diverse engineering organizations, with common vision, growth strategy and inclusive culture. Inna spent the last 6 years in Google Mountain View, and recently relocated back to Israel to lead GCP Database Migration Service.
Inna Weiner is a senior technical leader with 20+ years of global experience. A big data expert, specializing in data processing, storage, access, insider risk, privacy and policy compliance. During her 15 years at Google, Inna led engineering teams in consumer and enterprise products including Google Sites, Google Search and Google Analytics. Most recently she led the Google Search Analytics Data Warehouse, growing her organization 10x from 5 to 50. Inna enjoys building diverse engineering organizations, with common vision, growth strategy and inclusive culture. Inna spent the last 6 years in Google Mountain View, and recently relocated back to Israel to lead GCP Database Migration Service.
Tali Fulman
Head of Data Guild, Simply
Tali is Head of Data Guild at Simply (formerly Joytunes). She has over 10 years in the fields of data, first as a hands-on analyst and later as senior management. As one of the leading forces in the Israeli data community, Tali co-founded Data Queens, a non-profit Israeli community for women in the fields of data which has over 1300 members. Her community involvement includes presenting at events, teaching in courses and producing meetups and conferences. Tali holds a degree in Statistics from Tel Aviv University.
Tali is Head of Data Guild at Simply (formerly Joytunes). She has over 10 years in the fields of data, first as a hands-on analyst and later as senior management. As one of the leading forces in the Israeli data community, Tali co-founded Data Queens, a non-profit Israeli community for women in the fields of data which has over 1300 members. Her community involvement includes presenting at events, teaching in courses and producing meetups and conferences. Tali holds a degree in Statistics from Tel Aviv University.
Dr. Asi Messica
VP Data Science, Lightricks
Dr. Asi Messica is VP Data Science at Lightricks and a lecturer at Reichman University. Before joining Lightricks, she held various data science, product, and development management positions at Fiverr, SAP, RSA, and more. She pursued her Ph.D. in the area of Recommender Systems at Ben-Gurion University. Her professional interests include machine learning, personalization, information retrieval, NLP, and reinforcement learning.
Dr. Asi Messica is VP Data Science at Lightricks and a lecturer at Reichman University. Before joining Lightricks, she held various data science, product, and development management positions at Fiverr, SAP, RSA, and more. She pursued her Ph.D. in the area of Recommender Systems at Ben-Gurion University. Her professional interests include machine learning, personalization, information retrieval, NLP, and reinforcement learning.
venue
Habima Theatre, Tel-Aviv
The conference will take place in Habima Theatre, a luxurious venue for high-end events, right in the center of Tel Aviv.
Venue websiteSponsors
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The talks will be either in Hebrew or English.
Before attending the conference we kindly request you to review our Code of Conduct.
Cancellation policy
If we will not be able to hold an in-person event, we will postpone it and not make it virtual. In case of cancellation of the event or if the event is postponed to another date, we will offer a full refund to all attendees and sponsors.
Attendee cancellations
Up to 30 days prior to the event – 100% Refund.
30-14 days prior to the event – 50% Refund.
No refund will be offered later than that
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