Data Scientist · 6 Years Experience · Bengaluru, India
Building ML-driven decision systems for supply chain, forecasting, and operational planning — translating ambiguous problems into scalable, production-grade solutions.
6 years building end-to-end ML pipelines, Monte Carlo simulation platforms, and LLM-based intelligence systems — each tied to measurable business outcomes at scale.
Supply Chain & Forecasting
LLM & RAG Systems
Experimentation & Causal Inference
Amazon · Jun 2023 – Present
Supply Chain Optimisation & Forecasting
Demand Forecasting
Replaced time-series baselines with XGBoost/LightGBM ensembles across 10+ regions. Improved accuracy by 40% (MAPE: 5.2% → 3.1%), informing $450K+ inventory decisions.
THANOS Platform
Architected a Monte Carlo simulation platform for network-level planning across Middle East & North America. Modelled constrained/unconstrained capacity scenarios — ~$2M+ projected annual impact.
Partner Allocation Model
Improved on-time delivery by 6%, yielding $180K in annual savings across India-Japan logistics operations.
Amazon · AI / LLM Systems
Operational Intelligence with LLMs
RAG-Based Intelligence System
Led end-to-end development over 100K+ historical documents — replacing rule-based lookups with context-aware retrieval. Reduced error rate by 40%. Evaluation framework adopted organisation-wide.
NLP Event Triaging
Optimised NLP classification for supply chain events; improved recall by 28% through systematic prompt strategy evaluation, enabling automated handling of 10K+ weekly events.
Amazon · Experimentation & Measurement
Impact at Scale
$2M
Revenue Impact
12% ROI lift from causal inference on promotional strategies across 200K+ sellers.
65%
Faster Model Refresh
Automated monitoring for 8+ production models; 3× faster stakeholder response.
60%
Reduced Investigation Time
Anomaly detection framework over 50+ daily operational signals.
Ensemble Education · Jun 2020 – Aug 2022
Business Analyst, Noida
Operational Analytics
Analysed 1M+ operational records to identify process bottlenecks and define efficiency KPIs — drove a 200% improvement in throughput, enabling scale without headcount growth.
Cross-Functional Leadership
Led 5 cross-functional analytics projects with a 96% success rate. Built measurement frameworks that reduced operational costs by 18%.