Summary
Manu Sreekumar is a Staff Data Scientist with eight years of experience building ML-driven products and scalable data infrastructure across Azure and AWS. He translates product and business problems into production-ready solutions—ranging from fraud detection and predictive maintenance to LLM-powered HR assistants—using Python, PySpark, and modern MLOps patterns. Manu combines deep statistical rigor (Frequentist and Bayesian A/B testing) with hands-on engineering experience in Airflow, Databricks, Lambda, and Pulumi to deploy both batch and API-based services. He has delivered measurable impact—saving over $1.2M in fraud prevention and improving engagement and reliability through targeted ML features. Notably, he built RAG-based HR chatbots and reusable prompt/recommendation infrastructure that let customers upload documents for tailored answers, reflecting a strong blend of NLP research and productization. Based in Chicago, he pairs technical leadership with practiced communication skills (Toastmasters) and a track record of awards for client impact and automation.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Federal Institute of science and technology
Higher Secondary School Computer Science, Higher Secondary School Computer Science at Chinmaya Vidyalaya
Master of Science - MS Data Science, Master of Science - MS Data Science at Illinois Institute of Technology
S D V Central School
English, Hindi, Malayalam