Summary
Anupriya Thirumurthy is a Senior Data Scientist with seven years of experience building end-to-end ML and forecasting systems that inform finance, marketing, and operational decisions. She has led production hierarchical and cascaded forecasting at Expedia Group to predict OpEx across 200+ business units, integrating fallback logic, uncertainty quantification, and an LLM-driven model explanation layer to improve stakeholder adoption. Her background spans causal inference and uplift modeling at T‑Mobile, deep learning revenue forecasting, NLP-based fraud detection, and operational improvements that materially boosted CSAT and reduced churn. Comfortable across the stack—feature engineering, data pipelines, Airflow/MLOps, model monitoring, and dashboarding—she pairs rigorous technical delivery with clear communication to business partners. She’s particularly drawn to time series and financial forecasting roles in finance, infra, supply chain, fraud, or business planning and enjoys turning ambiguous problems into decision-ready forecasts. Based in Bothell, WA, she blends academic training from the University of Chicago with a practical track record of stabilizing executive reporting and driving adoption from 25% to 75%.
7 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Analytics, Master of Science - MS, Analytics at University of Chicago
Bachelor of Technology (BTech), Information Technology, Bachelor of Technology (BTech), Information Technology at PSG College of Technology
English, Tamil