Summary
Tejas Pandit is a Principal Consultant - Data and AI at Lovelytics, based in Kitchener, Ontario, with 8 years of experience delivering ML and data engineering solutions across industries. He combines machine learning, deep learning, NLP, and computer vision with full-stack development and deployment expertise to turn complex data into production-ready systems. He led data engineering efforts and co-led an E2 migration to Databricks, while developing a sports analytics accelerator that helped close a major ice hockey team deal, earning a Q3 Star Award for technical proficiency. His background includes a Data Scientist role at nugget.ai where he built NLP-based scoring models, and a Software Engineer role at Thomson Reuters, reflecting a broad, hands-on track record. He holds an MEng in AI from the University of Waterloo and a BTech in Computer Engineering from Charotar University of Science and Technology, underpinning a strong academic foundation.
8 years of coding experience