Sagar Virmani

Senior Data Scientist | GenAI, MLOps & Production ML (4 years and 7 months) • GenAI: Built LLM BI system via GCP Vertex AI/Gemini. Uses intent classification, agentic routing, MCP guardrails. 85-90% accuracy. • MLOps: Built GCP/Airflow HMM lead scoring pipeline for 1M+ records. Daily batch inference. Cut forecast error 80%; 5x accuracy gain. • Forecasting: Built AWS ARIMA/SARIMAX engine driving 5.3% revenue lift. • Strategy: Drove A/B & causal testing for model validation. Led cross-functional alignment.

Healthcare ML: Built clinical classification models on AWS EC2 using XGBoost, Random Forest, and SMOTE for imbalanced data. Reached 0.9 ROC-AUC and a 40% accuracy improvement via cross-validation and systematic hyperparameter tuning . Predictive Modeling: Developed a regression-based calorie prediction model with advanced feature engineering, improving accuracy by 10% and establishing strong end-to-end evaluation discipline.

This degree and university is Anabin H+ certified