Ron Bekkerman

Ron Bekkerman Email and Phone Number

Director @ Leir Research Institute (LRI)
New York, NY, US
Ron Bekkerman's Location
New York, New York, United States, United States
Ron Bekkerman's Contact Details

Ron Bekkerman personal email

Ron Bekkerman phone numbers

About Ron Bekkerman

Data Science leader with deep understanding of what works and what doesn’t work in AI, and how to make it work. Expert in Natural Language Processing (NLP), Knowledge Graphs (KG), supervised learning, clustering, unstructured data collection, cleaning, and analytics. Hands-on in Python and SQL. Cloud-native (Google Cloud, AWS, Spark, etc). Manager of Data Science / Data Engineering teams that build data-centric SaaS products. In charge of the entire product development cycle. Always happy to jump on a sales call and present to the Board. Speaking business and data as one.Researcher by training, well connected into the industrial and academic Data Science worlds.Career highlights so far:• Led the construction of the entire Data Science tech stack of Cherre, the real estate data aggregator. Owner unmasking, real estate knowledge graph, sales comp model, name standardization being a few examples.• Completed and published 4 real estate research projects.• Taught Data Science and Big Data at the University of Haifa, Business School. Served a thesis advisor of 9 graduate students. Led the University Entrepreneurship Program.• Was one of the first Chief Data Officers in the Venture Capital industry. Evaluated hundreds of startups.• Corresponding editor of a book titled "Scaling Up Machine Learning" (published by the Cambridge University Press).• Was one of the first five LinkedIn Data Scientists. Built a data standardization system that was making big $$ for LinkedIn. Performed data analyses affecting LinkedIn’s product and marketing strategy. Was in charge of LinkedIn's research internship program.• Published over 40 papers - most in top-tier venues such as JMLR, KDD, WebConf (WWW), ICML, ECML, SIGIR, CVPR, IJCAI, CIKM, EMNLP, and PLOS ONE.• My papers have been cited over 3000 times in scientific literature.• Served on the organizing committees of KDD-2024, KDD-2023, KDD-2018, KDD-2016, KDD-2015, KDD-2013, and KDD-2012 (the ACM Conference on Knowledge Discovery and Data Mining).• Served on senior program committees of KDD-2024 (applied track), WSDM-2024, WSDM-2023, KDD-2022 (applied track), WSDM-2022, KDD-2021 (applied track), WSDM-2017, SDM-2017, and WSDM-2016.Specialties: machine learning, knowledge graphs, social network analysis, text mining, Web mining, natural language processing.

Ron Bekkerman's Current Company Details
Leir Research Institute (LRI)

Leir Research Institute (Lri)

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Director
New York, NY, US
Ron Bekkerman Work Experience Details
  • Leir Research Institute (Lri)
    Director
    Leir Research Institute (Lri)
    New York, Ny, Us
    View
  • Cherre
    Strategic Advisor
    Cherre Oct 2022 - Present
    New York, New York, Us
    View
  • Cherre
    Cto And Chief Data Scientist
    Cherre Nov 2018 - Oct 2022
    New York, New York, Us
    View
  • Fundbox
    Advisory Board
    Fundbox Dec 2012 - Present
    San Francisco, Ca, Us
    View
  • Bizzabo
    Advisory Board
    Bizzabo Jul 2013 - Present
    New York, Ny, Us
    View
  • Acm Sigkdd & Annual Kdd Conference
    Social Media / Publicity Co-Chair (Kdd-2023, Kdd-2024, And Kdd-2025)
    Acm Sigkdd & Annual Kdd Conference Nov 2022 - Present
    https://www.linkedin.com/pulse/search-kdd-community-ron-bekkerman
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  • Voya Investment Management
    Principal Consultant
    Voya Investment Management Jun 2023 - Nov 2023
    New York, New York, Us
    In charge of creating the single source of truth of Voya's data
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  • Salesforce
    Principal Consultant
    Salesforce Jun 2017 - Oct 2018
    San Francisco, California, Us
    • Launched campaign analytics for Einstein Pardot• Reported to the Head of R&D, Israel
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  • University Of Haifa (Faculty Of Management)
    Assistant Professor Of Data Science
    University Of Haifa (Faculty Of Management) Oct 2013 - Sep 2018
    Haifa, Haifa, Il
    • Classes taught: Introduction to Python Programming, Data Science, Big Data• Launched and led the University's Entrepreneurship Program• Conducted research in 10 scientific disciplines: Law, History, Ecology, Linguistics, e-Commerce, Public Health, Public Administration, Finance, Cognitive Psychology, and Social Network Analysis.Selected projects:• Automatic Discovery of Prior Art: Big Data to the Rescue of the Patent Systemhttps://repository.jmls.edu/ripl/vol16/iss1/3/• The Colors of the National Web: Visual Data Analysis of the Historical Yugoslav Web Domainhttps://link.springer.com/article/10.1007/s00799-016-0202-6• Visualizing Wikipedia for Interactive Explorationhttp://poloclub.gatech.edu/idea2017/papers/p11-bekkerman.pdf• Quantifying the Web Browser Ecosystemhttp://journals.plos.org/plosone/article?id=10.1371/journal.pone.0179281• Evolution of Language: an Empirical Study at eBay Big Data Labhttp://journals.plos.org/plosone/article?id=10.1371/journal.pone.0189107• Distilling the Twitter Stream of Subpopulationshttp://www.mlgworkshop.org/2018/papers/MLG2018_paper_45.pdfhttps://www.sciencedirect.com/science/article/pii/S0020025520303042• Predicting Purchase Behavior of Website Audienceshttps://www.tandfonline.com/doi/abs/10.1080/10864415.2018.1485084• Mining the Thin Air—for Understanding of Urban Societyhttps://www.liebertpub.com/doi/pdf/10.1089/big.2019.0026• Detecting Trends in 30 Years of Performance Reportshttps://journals.sagepub.com/doi/abs/10.1177/1356389020905322• The Effect of Innovation Similarity on Asset Priceshttps://academic.oup.com/raps/article-abstract/13/1/99/6656364
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  • Sigkdd 2018
    Kdd Cup Co-Chair
    Sigkdd 2018 Aug 2017 - Aug 2018
    KDD Cup 2018 was a great success! It was about predicting air pollution levels. This year, the competition was unique because (1) it was a life saving effort, (2) model testing was not done on historical data as usual - instead, the participants actually predicted the future! http://www.kdd.org/kdd2018/kdd-cup
  • Sigkdd 2016
    Social Networking Co-Chair
    Sigkdd 2016 Jan 2016 - Aug 2016
    • Served as the Social Networking Co-Chair at KDD-2012 and KDD-2013 as well.• Check out KDD-2016 YouTube channel:
  • Implisit (Acquired By Salesforce)
    Advisory Board
    Implisit (Acquired By Salesforce) Nov 2014 - May 2016
  • Candormap
    Cto
    Candormap Aug 2013 - Mar 2016
  • Sigkdd 2015
    Kdd Cup Co-Chair
    Sigkdd 2015 May 2015 - Aug 2015
    https://www.linkedin.com/pulse/present-future-kdd-cup-competition-outsiders-ron-bekkerman
  • Viola Ventures
    Chief Data Officer
    Viola Ventures Oct 2012 - Dec 2013
    Herzelia, Il
    • Consulted Viola Ventures (then called Carmel Ventures) on investing in data-driven technologies.• Performed technical due diligence.• Consulted portfolio companies on strategic initiatives.
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  • Linkedin
    Sr. Research Scientist
    Linkedin Sep 2009 - May 2012
    Sunnyvale, Ca, Us
    • Revamped LinkedIn's data standardization.• Provided insights on behavioral patterns of LinkedIn users.• Ran LinkedIn Analytics Internship Program in 2010 and 2011. Hired 23 interns.
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  • Corresponding Editor
    "Scaling Up Machine Learning" Oct 2008 - Jan 2012
    • Developed the concept from the initial idea to the printing stage.• Built and managed a team of 74 world-class Machine Learning researchers.
  • Hewlett-Packard Laboratories
    Machine Learning Researcher
    Hewlett-Packard Laboratories Oct 2007 - Sep 2009
    Houston, Texas, Us
    Worked on large-scale unsupervised learning tasks for content-based collaborative filtering
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  • University Of Massachusetts Amherst
    Research Assistant
    University Of Massachusetts Amherst Sep 2003 - Sep 2007
    Amherst, Massachusetts, Us
    Developed Machine Learning algorithms for intelligent Web applications, such as Web search/mining and webpage clustering/classification.
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  • Google Inc.
    Research Intern
    Google Inc. Oct 2005 - Dec 2005
    Mountain View, Ca, Us
    Worked on a research project in webpage clustering.
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  • Zoran Inc.
    Software Engineer
    Zoran Inc. Nov 2001 - Aug 2003
    Sunnyvale, California, Us
    Digital Television / DVD MPEG stream processing
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  • Technion - Israel Institute Of Technology
    Research Assistant
    Technion - Israel Institute Of Technology Mar 1999 - Oct 2001
    Haifa, Il
    Developed Machine Learning algorithms for analyzing large document collections.
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  • Motorola Semiconductor Israel Ltd.
    Software Engineer
    Motorola Semiconductor Israel Ltd. Jul 1996 - Feb 1999
    Chicago, Illinois, Us
    StarCore C Compiler
    View

Ron Bekkerman Skills

Machine Learning Data Mining Text Mining Big Data Natural Language Processing Information Extraction Analytics Information Retrieval Hadoop Data Analysis Social Network Analysis Business Intelligence Cloud Computing Scalability Product Management Web Applications Algorithms Web Mining Large Scale Systems

Ron Bekkerman Education Details

  • University Of Massachusetts Amherst
    University Of Massachusetts Amherst
    Computer Science
  • Technion - Israel Institute Of Technology
    Technion - Israel Institute Of Technology
    Computer Science
  • Technion - Israel Institute Of Technology
    Technion - Israel Institute Of Technology
    Computer Science

Frequently Asked Questions about Ron Bekkerman

What company does Ron Bekkerman work for?

Ron Bekkerman works for Leir Research Institute (Lri)

What is Ron Bekkerman's role at the current company?

Ron Bekkerman's current role is Director.

What is Ron Bekkerman's email address?

Ron Bekkerman's email address is rb****@****din.com

What is Ron Bekkerman's direct phone number?

Ron Bekkerman's direct phone number is +972 4-824*****

What schools did Ron Bekkerman attend?

Ron Bekkerman attended University Of Massachusetts Amherst, Technion - Israel Institute Of Technology, Technion - Israel Institute Of Technology.

What skills is Ron Bekkerman known for?

Ron Bekkerman has skills like Machine Learning, Data Mining, Text Mining, Big Data, Natural Language Processing, Information Extraction, Analytics, Information Retrieval, Hadoop, Data Analysis, Social Network Analysis, Business Intelligence.

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