Key Highlights

• →Built AI-Driven Win/Loss Analysis Platform transforming Gong transcripts into structured insights
• →Designed EIRE (Entity Resolution Engine) achieving 98.7% precision across multilingual text
• →Created autonomous Loss Analysis Agents using ReAct pattern for deal post-mortems
• →Implemented RAG + Graph-RAG for product deduplication and semantic search

Key Highlights

• →Built end-to-end win/loss analysis system from scratch (evolved into AI Builder role)
• →Designed revenue reconciliation workflows: 1.25% churn reduction, 11% ARR uplift
• →Defined CX operational KPIs achieving 8.5% reduction in SLA breaches
• →Developed adoption/readiness scoring models for Professional Services

Key Highlights

• →Developed NLP model for email sentiment & intent classification with automated routing
• →Implemented Markov-based upsell forecasting: ~10% improvement in revenue accuracy
• →Built deep learning sales forecasting models (PyTorch/TensorFlow)
• →Created clustering models for customer segmentation & churn risk modeling

Key Highlights

• →Thesis: Churn prediction using survival analysis techniques
• →Combined Kaplan-Meier, Cox Proportional Hazards with ML methods
• →Achieved high predictive accuracy using Random Forest, XGBoost, LightGBM
• →Published comprehensive framework enabling proactive retention strategies

Key Highlights

• →Maintained sales performance dashboards and KPI reporting
• →Tracked pipeline, revenue forecasts, and team performance
• →Supported monthly/quarterly business reviews with growth insights
• →Delivered recommendations to leadership on risks and opportunities

Key Highlights

• →First Class honors degree
• →Strong foundation in analytical thinking and problem-solving
• →Engineering principles applied to data science career
• →Developed systematic approach to complex technical challenges