Experience
Jan 2024 - Jan 2025
1 year 1 month
- Built and maintained automated dashboards using Power BI, improving visibility into project KPIs and enabling data-driven decision-making.
- Created reusable Python scripts for data cleaning, validation, and enrichment, reducing manual data wrangling by 80%.
- Built data validation frameworks using Great Expectations, catching anomalies in production pipelines.
- Collaborated with analysts to define data requirements, resulting in cleaner datasets and more accurate business insights.
- Created reusable SQL templates for business users to access weekly sales and customer retention metrics.
- Assisted in visualizing key metrics using Excel pivot tables and charts, enabling faster performance insights for the stakeholders.
Aug 2023 - Jan 2024
6 months
- Applied linear regression models to understand factors influencing SKU-level sales fluctuations, enabling targeted interventions to improve inventory management.
- Built automated dashboards and reports using Python (Pandas, Matplotlib) and SQL, reducing manual performance tracking time by 60%.
- Detected low-performing SKUs through SQL-based anomaly detection and proposed optimizations, improving listing performance.
- Reduced catalog data issues by implementing rule-based validation scripts in Python, covering missing attributes and invalid formats.
May 2022 - Dec 2022
8 months
- Assisted with data collection, analysis, and report generation to support public policy and organizational initiatives.
- Designed 5+ dashboards using Tableau to present urban research data to policymakers and stakeholders, improving public policy awareness.