Uday M.

About Uday M.

Data Scientist and Applied Machine Learning Engineer with 4+ years of experience designing, building, and deploying end-to-end ML systems across fintech, healthcare, and enterprise analytics.Deep expertise in statistical modeling, predictive analytics, A/B experimentation, causal inference, and NLP/LLM-based applications. Track record of productionizing models at scale from feature engineering and model development through real-time inference, drift monitoring, and stakeholder-facing dashboards.Skilled at translating complex data science into measurable business outcomes in regulated and high-impact environments using Python, SQL, AWS SageMaker, and modern MLOps tooling.Core Skills: Machine Learning · NLP/LLMs · A/B Testing · Causal Inference · MLOps · Time Series Forecasting · RAG Pipelines · Feature Engineering · AWS · Snowflake · Power BI · Tableau

Experience

1. Data Scientist & Analyst

   Caliber Home Loans

   May 2021 — Present · IN

   Built prepayment risk models using behavioral and macroeconomic indicators to inform strategic lending decisions- Designed Snowflake Data Vault pipelines aggregating mortgage data across origination, servicing, and underwriting systems- Developed Power BI executive dashboards with live KPIs delinquency rates, repayment trends, and refinancing forecasts- Reduced financial reporting errors by 95% via reconciliation systems comparing Snowflake data against bank settlements- Refactored batch ETL jobs into Kafka-driven microservices, cutting pipeline latency by 50%+- Optimized Snowflake warehouse performance achieving in annual cost savings- Reduced manual processing errors by 70%+ by building Python-based amortization modeling workflows- Trained junior analysts on SQL optimization, dashboard development, and mortgage data lifecycle.

Education

• University of Memphis

  Master's degree, Data Science