Summary
Nitin Hardeniya is a data science leader with 13 years of experience building and deploying ML systems at scale, currently heading Commerce Data Science at Tata Digital after leading multi-disciplinary teams at Gojek and VerSe. He has led teams of 30+ data and decision scientists to deliver production ML across search, recommendations, CV, and NLP for high-traffic consumer products, driving measurable revenue and engagement at tens of millions DAU. His background spans startups and enterprise finance, with early-impact work at Swiggy creating feed ranking, catalogue intelligence and multi-objective personalization features like Top-Picks and “Restaurant like X.” An IIIT-Hybrid M.Tech in Computational Linguistics, he’s the author of NLTK Essentials and holds multiple patents, reflecting deep applied NLP expertise for Indian languages. He combines research rigor with product sense and platform collaboration to move prototypes into low-latency production, and has a track record of inventing hybrid recommender approaches (LDA+ALS, pointwise/pairwise ranking) that became core product features.
12 years of coding experience
14 years of employment as a software developer
Master of Technology, Linguistics, Master of Technology, Linguistics at CIE IIIT Hyderabad
M.Tech, Computational Linguistics,Natural Language Processing, M.Tech, Computational Linguistics,Natural Language Processing at International Institute of Information Technology Hyderabad (IIITH)
Bachelor of Engineering, Computational Science, Bachelor of Engineering, Computational Science at Jabalpur Engineering College
B.E, CSE, B.E, CSE at Jabalpur Engg. College
English, Hindi