Shubham Dharme

I’m a Data Analyst with 4+ years of experience turning large-scale retail data into actionable business intelligence. I focus on the full analytics lifecycle—querying, modeling, visualization, and governance—to help leadership teams move faster with confidence.

At my current role, I analyze high-volume datasets spanning 500+ retail stores using MySQL, Power BI, and Python to identify key business drivers and forecast trends. I engineered and optimized complex MySQL queries (JOINs, subqueries, window functions), delivering a 30% reduction in SQL query execution time and significantly improving retrieval performance for analysts and stakeholders.

I design Power BI dashboards with DAX measures and calculated columns for real-time KPI tracking and business performance analytics, improving data accessibility for leadership teams by 40%. I also lead POC dashboard development—once validated, solutions are adopted in production—reducing manual reporting effort by 20% and accelerating insight delivery.

Beyond reporting, I build end-to-end ETL pipelines with data integrity, validation, and governance standards, cutting data inconsistencies by 20% across reporting systems. I complement analytics with exploratory data analysis that improved marketing campaign ROI by 15–20%, and I leverage CVAT for image labelling to support ML training datasets and improve model accuracy by 10–15%.