29 Kummari Bhargavi

I’m a data analyst with a foundation in Python, SQL, Power BI, and statistical analysis, where I translate raw data into decision-ready findings. Through hands-on projects, I’ve focused on turning large, messy datasets into clear, actionable insights for pricing, customer satisfaction, and profitability.

I’ve analyzed 150K+ e-commerce and pricing records using SQL and Python to uncover drivers of business outcomes. In an Olist e-commerce analysis, I worked with 100K+ orders and identified key dissatisfaction signals by region, review patterns, and delivery delay impacts—then delivered logistics and retention recommendations from the results.

Across other projects, I’ve built data models and dashboards in Power BI (including a star-schema model with DAX measures) and used statistical and regression approaches to find pricing and demand signals from Airbnb listings and diamond feature data. I’m especially motivated by work that combines strong analytics with practical recommendations stakeholders can act on.