Asif Khan is a Data Scientist III with 11 years of experience applying machine learning, deep learning, and large language models to solve high-impact business problems across retail, healthcare, and fraud prevention. He has delivered production ML pipelines and scalable ETL on Databricks, Spark, and AWS, and improved fraud detection and sales forecasting through model automation and pipeline optimization. Recently he integrated enterprise and open-source LLMs (GPT-4, LLaMA, Mistral) with RAG for a healthcare chatbot that boosted client engagement by 40% and built systems to generate SQL-like code for healthcare reporting. Comfortable leading cross-functional teams, he combines strong statistical rigor (Bayesian methods, SMOTE/ADASYN) with deep engineering chops in Python, TensorFlow/PyTorch, and SQL to turn messy, terabyte-scale data into actionable insights. Based in the Washington DC–Baltimore area, he pairs an MS in Data Analytics Engineering with a track record of cutting time-to-market and operational costs through pragmatic ML engineering.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Krishna Engineering College
Master of Science - MS Data Analytics Engineering, Master of Science - MS Data Analytics Engineering at Northeastern University
Computer Science, Computer Science at The Air Force School (TAFS), Subroto Park
Contributions:1 PR, 3 pushes, 1 branch in 1 year 7 months
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