Ravi Prakash is an Analytics Manager with 9 years of hands-on experience building end-to-end machine learning solutions, from data pipelines and model validation to production APIs and React frontends. He combines strong modeling skills (XGBoost, LSTM, BERT) with practical MLOps and engineering practices—Docker, DVC, AWS SageMaker, and automated testing—to reliably ship production-grade systems. At Zenon and prior roles at EXL he led optimization and automation projects that cut operational time dramatically (e.g., speeding renovation scheduling from multi-person effort to minutes) and developed ensemble text-matching engines for robust NLP applications. Comfortable across the full stack, he accelerates APIs with Redis/Celery and asynchronous Python patterns, and is exploring graph databases and knowledge graphs to enrich semantic capabilities. Trained at IIT Kanpur in a dual BS-MS in Economics, he brings an analytical mindset to product-focused engineering and a knack for turning complex business constraints into pragmatic, deployable solutions.
Contributions:18 commits, 16 pushes, 3 branches in 3 months
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