Raghav Bali
Staff Data Scientist
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolRaghav Bali is a Staff Data Scientist based in Berlin with 12 years of experience building research-driven, production-grade ML systems across recommendation engines, NLP, computer vision and generative AI. Currently shaping data products at Delivery Hero, he has held senior data science leadership roles at UnitedHealth Group and Intel, bringing a strong track record of moving models from prototype to scalable deployment. An M.Tech Gold Medalist from IIIT Bangalore, Raghav is also a prolific author of 7+ books, a peer-reviewed researcher and a named inventor on multiple patents—demonstrating both deep academic grounding and product-focused innovation. He combines hands-on engineering with domain breadth in big data analytics and web information retrieval, and often bridges research and applied solutions in high-impact enterprise contexts. Off the console, he’s a shutterbug and communicator who actively shares knowledge through books and papers, signaling a rare blend of technical authorship and operational delivery.
12 years of coding experience
9 years of employment as a software developer
Master of Technology (M.Tech.), Master of Technology (M.Tech.) at International Institute of Information Technology BangaloreBachelor of Technology (BTech), Bachelor of Technology (BTech) at Northern India Engineering College,New DelhiDAV Centenary Public School
Spanish, Hindi, English
Github Skills (111)
multilabel-classification10
notebook10
python10
arabic-nlp10
prophet10
cnn-keras10
lda10
clustering10
optuna10
machine-translation10
convolutional-neural-networks10
pandas10
multimodal10
crowd10
data-preprocessing10
Programming languages (4)
Github contributions (5)
raghavbali/raghavbali
Jul 2020 - Mar 2022
Contributions:8 commits, 5 pushes, 1 branch in 1 year 8 months
raghavbali/workshop_text_classification
Jun 2022 - Sep 2022
Workshop on Text Classification at 1729 Conference
Contributions:35 commits, 8 PRs, 18 pushes in 2 months
nlpword-embeddingsworkshopdeep-learningmulti-label-classification
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