Rohan Bhosale

I’m a detail-oriented Data Analyst with a Computer Engineering background, focused on SQL, Python (pandas), data quality validation, ETL pipeline design, and web scraping. I enjoy turning messy data into reliable, decision-ready insights.

In an end-to-end e-commerce analytics project, I ingested 10,000+ records and built a pandas-based ETL pipeline into SQLite. I engineered 6 data quality checks (null detection, deduplication, invalid filtering, type enforcement, outlier profiling) and achieved a 26% reduction in dirty records.

I also validated integrity and extracted KPIs with 8 SQL queries, including MoM revenue growth, customer lifetime value, and country-level revenue share. On the visualization side, I created matplotlib charts and a Power BI dashboard with drill-down slicers to surface actionable insights.

Through Forage job simulations with Tata and Deloitte, I strengthened forensic data analysis, structured documentation, and dashboard validation against requirements. I’m eager to apply these skills in a life sciences data environment at Veeva Systems.