Hannes Datta
Associate Professor
North Brabant, Netherlands
Summary
👤
Senior🎓
Top SchoolHannes Datta is an Associate Professor in Quantitative Marketing at Tilburg University with over a decade of experience developing econometric models to inform managerial decisions and public policy around digital media consumption and retail. He combines deep academic training (PhD, Research MSc) with practical expertise in large-scale data processing and cloud computing, regularly teaching web data collection and workflow management. As co-founder of Tilburg Science Hub and project lead at Tilburg.ai, he bridges academic research and applied data science initiatives. His work uniquely blends rigorous modeling of streaming and digital TV behavior with hands-on implementation, making his research readily actionable for industry partners. Based in North Brabant, Netherlands, he maintains a public research presence through hannesdatta.com and tiu.nu/datta.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.Sc.), Business Administration and Management, General, Bachelor of Science (B.Sc.), Business Administration and Management, General at Katholische Universität Eichstätt-IngolstadtDoctor of Philosophy (PhD), Quant. Marketing, Doctor of Philosophy (PhD), Quant. Marketing at Maastricht University School of Business and Economics
English, Dutch, German, Spanish
Github Skills (67)
python10
marketing-automation10
economics10
reproducible-science10
data-science10
workflow-management10
data-analysis10
data-collection10
hosts10
computation8
r-package8
science7
pulse7
promotions7
spotify-api6
Programming languages (7)
Github contributions (5)
hannesdatta/data-spotify-promotions-releases
Nov 2020 - Dec 2022
Documentation of "Playlist Promotions and New Releases at Spotify (2019 - today)"
Contributions:20 commits, 13 pushes, 6 issues in 2 years 1 month
spotifyspotify-web-apiplaylistpromotionsspotify-api
hannesdatta/web-scraping.org
Apr 2022 - Aug 2022
Web companion for "Fields of Gold: Scraping Web Data for Marketing Insights"
Contributions:1 release, 48 commits, 4 PRs in 3 months
goldapisweb-scrapingscrapingmarketing
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