Manu Sreekumar

Staff Data Scientist

Chicago, Illinois, United States
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Summary

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Senior
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Top School
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.
code8 years of coding experience
job7 years of employment as a software developer
bookBachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Federal Institute of science and technology
bookHigher Secondary School Computer Science, Higher Secondary School Computer Science at Chinmaya Vidyalaya
bookMaster of Science - MS Data Science, Master of Science - MS Data Science at Illinois Institute of Technology
bookS D V Central School
languagesEnglish, Hindi, Malayalam
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Stackoverflow

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Github Skills (11)

computer-vision6
pytorch6
campus5
deep-learning5
fastai5
python3
opencv3
driver2
forecasting1
forecast1
numpy1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Manusreekumar/Personal-docs

Apr 2018 - Dec 2019

Contributions:9 pushes, 1 branch in 1 year 7 months
Manusreekumar/autofocus

Mar 2019 - May 2019

Contributions:15 pushes in 2 months
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