Aashish Mallah

At Yuva Intern, I cleaned and analyzed shipment records using Python, Excel, and SQL to identify delivery delays and cost issues across regions and carriers. I built Power BI dashboards to track performance and trends, then shared reports with recommendations to improve delivery reliability.

For my Return & Refund Analysis Dashboard, I used Power Query to clean and transform raw data into a structured model. I developed DAX measures for orders, return rates, and refund amounts, and analyzed return reasons and refund trends.

In my Customer Shopping Behavior Analysis project, I cleaned 3,900 transactions with Python and Pandas, then used SQL to analyze revenue, discounts, subscriptions, products, and customer segments. I presented the findings in an interactive Power BI dashboard.

I also built a machine learning application for early chronic kidney disease detection, processing 400+ patient records and comparing Random Forest and AdaBoost models. I’m seeking an entry-level Data Analyst role where I can apply my analytical and programming skills to real-world problems.