Harshitha Gangasani

Experience

1. Product Data Analyst

   Instacart

   Jul 2024 — Present

   Collaborated with three product pods to diagnose routing inefficiencies across Instacart’s fulfillment network, improving slot allocation logic and reducing order cancellations by 9%. • Designed and deployed data pipelines using Snowflake, dbt, and Airflow to process 10TB+ of daily order and fulfillment data, improving reliability and cutting refresh latency by 40%. • Overhauled KPI definitions and governance processes for fulfillment and SLA tracking, improving data consistency and enabling unified reporting across Product and Operations. • Developed forecasting and uplift models in Python using scikit-learn and XGBoost; validated performance through backtesting (MAE, RMSE) to enhance promotional demand prediction by 18%. • Conducted A/B testing on pricing experiments, instrumenting event tracking in product logs and using SQL with t-tests (95% CI) to identify variants that increased conversion by 12%. • Partnered with cross-functional teams PMs, Data Engineers, and Operations to align analytics priorities, manage Airflow DAG versioning in Git, and support Agile sprint deliverables. • Initiated fulfillment metrics governance to standardize KPI definitions across regional teams and improve executive reporting consistency. • Contributed to the architectural design of data pipelines and monitoring frameworks in Snowflake and Airflow, ensuring scalability and performance for 10TB+ of daily data processing. • Documented analytical workflows, data standards, and architecture decisions within Confluence and Git to ensure compliance, reproducibility, and alignment with organizational quality frameworks.

Education

• Anurag Group of Institutions

  Bachelor of Technology, Information Technology

  2016 — 2020

• University of Colorado Denver Business School

  Master's degree, Business Analytics