David Zibriczky
11 SlideShares 28 Followers 55 Followings
Personal Information
Organization / Workplace
Hungary area Hungary
Occupation
Director Data Science
Industry
Technology / Software / Internet
About
David is a passionate Data Science leader with 14 years of industrial experience in designing and implementing end-to-end data analytics and AI products specialized in recommender systems, computer vision and natural language processing. He has 9 years of experience in leadership/management with proven ability to establish and lead data teams, drive strategy in data science/analytics, organize cross-functional agile teams and engineer large-scale data-driven solutions in product development. Besides his primary responsibilities, David is interested in conducting research in computer science and econometrics, he published 21 peer-reviewed scientific articles with 500+ citations.
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recommender systems iptv machine learning collaborative filtering personalization tensor factorization content-based filtering case study hybrid filtering ott summary report conference recsys 2014 recsys analytics loan case-based reasoning finrec banking literature review real estate stock market portfolio finance insurance recommender systems; recsys; workshop linear combination optimization challenge forward predictor selection matrix factorization learning to rank epg ctr lecture matrix facotrization introduction knn data algorithms financial risk; asset pricing; entropy; diversific
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Personal Information
Organization / Workplace
Hungary area Hungary
Occupation
Director Data Science
Industry
Technology / Software / Internet
About
David is a passionate Data Science leader with 14 years of industrial experience in designing and implementing end-to-end data analytics and AI products specialized in recommender systems, computer vision and natural language processing. He has 9 years of experience in leadership/management with proven ability to establish and lead data teams, drive strategy in data science/analytics, organize cross-functional agile teams and engineer large-scale data-driven solutions in product development. Besides his primary responsibilities, David is interested in conducting research in computer science and econometrics, he published 21 peer-reviewed scientific articles with 500+ citations.
Tags
recommender systems iptv machine learning collaborative filtering personalization tensor factorization content-based filtering case study hybrid filtering ott summary report conference recsys 2014 recsys analytics loan case-based reasoning finrec banking literature review real estate stock market portfolio finance insurance recommender systems; recsys; workshop linear combination optimization challenge forward predictor selection matrix factorization learning to rank epg ctr lecture matrix facotrization introduction knn data algorithms financial risk; asset pricing; entropy; diversific
See more