vimal raj

I am a Data Scientist and Machine Learning Engineer with 4+ years of experience delivering scalable ML, AI, and Generative AI solutions across finance, lending, and enterprise domains. I specialize in predictive modeling, RAG/LLM-based applications, feature engineering, statistical analysis, and end-to-end ML pipeline development.

At JPMorgan Chase, I led feature engineering for a behavioral credit risk scorecard over 1M+ customers, improving AUC from 0.72 to 0.78 and KS to 42, and automated CCAR reporting pipelines to cut reporting cycle time by 99%. Previously, I built underwriting, fraud detection, and income prediction models that increased repayment rates, reduced ACH failures, and improved fraud capture while lowering false positives.

I am proficient with Python, SQL, PySpark, LangChain, Hugging Face, vector DBs (ChromaDB, FAISS), AWS services, Databricks, FastAPI, Docker, and BI tools like Power BI and Tableau. I bring a results-driven mindset, strong attention to detail, and a track record of delivering measurable business impact through production ML systems.