Product Data Analyst - Instacart - USA
(2025-06)
Product analytics for fulfillment and pricing across Instacart's e-commerce marketplace, partnering with cross-functional product pods
- 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 ~15%
- Overhauled KPI definitions and data governance processes for fulfillment and SLA tracking, improving data quality and consistency, and enabling self-service reporting via Mode Analytics across Product and Operations
- Developed forecasting and uplift models in Python using scikit-learn and XGBoost; validated performance through backtesting (MAE, RMSE) to improve promotional demand prediction accuracy by ~4%
- Conducted A/B testing on pricing experiments, instrumenting event tracking in Snowgoose product logs and using SQL with t-tests (95% CI) to identify variants that increased conversion by ~2%
- Partnered with cross-functional teams, including PMs, Data Engineers, and Operations, to align analytics priorities, manage Airflow DAG versioning in Git, and support Agile sprint deliverables
Instructional Assistant (Analyst) - Florida Atlantic University - USA
(2024-01 - 2024-12)
Institutional analytics support during MS in Computer Science, focused on academic reporting and student performance data
- Supported institutional analytics initiatives by building automated Excel and Python workflows to process 2K+ grade records, improving reporting turnaround by 25%
- Built interactive Power BI dashboards to track student performance and equity trends, enabling faculty to identify and support at-risk learners early
- Supported analysis and optimization of project resource allocation and cost tracking, contributing to forecasting workflows that improved budget accuracy
- Applied statistical validation techniques (variance, correlation, z-scores) to evaluate question difficulty and support fair assessment design
- Collaborated with professors to analyze learning outcome data and adjust pacing, supporting an ~8% improvement in average course performance
- Streamlined data validation and reporting processes, supporting transparency and academic integrity across assessments
Data Analyst - Tudip Technologies - India
(2020-06 - 2023-06)
QA and engineering analytics for enterprise client engagements at a mid-market IT services and software consulting firm
- Revamped QlikView dashboards for SLA and defect tracking, creating a unified view for QA and Engineering Teams, adopted across six client engagements over the course of the role to enhance sprint analytics
- Engineered SQL automation scripts in MySQL processing 100K+ issue logs per month, reducing manual reporting cycles by 30%
- Performed root-cause and trend analyses using Python (pandas, matplotlib) to uncover recurring defects, contributing to a 15% reduction in issue recurrence
- Implemented a standardized KPI framework for release quality, improving visibility, alignment, and collaboration across Agile teams via Jira and Confluence
- Presented defect insights and sprint performance findings to stakeholders, influencing prioritization and roadmap planning
- Mentored two junior analysts on SQL query optimization and dashboard-building best practices
