Summary
Nitesh Sukhwani is a Senior Data Scientist with 7 years of experience building production-scale ML systems that drive retention, forecasting and risk mitigation across gaming and e-commerce. He has a strong engineering foundation (C, Python, R, SQL) and a track record of shipping low-latency personalized recommendation pipelines (1M+ daily predictions at <100ms) and end-to-end MLOps frameworks that cut deployment cycles from months to weeks. His work spans time-series forecasting, anomaly detection, RAG systems with fine-tuned Llama2, and optimization models that delivered measurable business impact (e.g., preventing $500K revenue loss and reducing RTO by 9%). Comfortable mentoring small teams and collaborating with product and engineering, he pairs rigorous statistical validation with practical engineering (PySpark, TensorRT, MLflow) to operationalize research. Currently based in Hyderabad, he is completing an MBA in AI for Business and brings a rare mix of hands-on model engineering and product-focused decision science.
7 years of coding experience
6 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Kendriya Vidyalaya Sangathan
Master's degree, Big Data Analytics, Master's degree, Big Data Analytics at Central University of Rajasthan, Jaipur