Priya Patil

Analysed 3 years of sales data for a local retail chain to find why revenue dipped every monsoon quarter, and shipped a dashboard the owner now checks weekly.

• Cleaned 48,000 transaction rows — de-duplicated, fixed date formats, handled missing store codes
• Wrote 20+ SQL queries with joins and window functions for month-on-month growth
• Built a 4-page Power BI report with store, category and seasonality drill-downs
• Found that 38% of the dip came from two under-stocked categories

Explored a 1,000-student dataset to test which daily habits actually correlate with exam scores.

• Ran correlation analysis across sleep, study hours, attendance and screen time
• Presented findings as a 10-slide deck with annotated charts

An HR-facing report on which departments lose people fastest and what the exit data suggests.

• Segmented attrition by department, tenure band and salary quartile
• Automated the monthly refresh with Power Query