At Skillfied Mentor, I cleaned three datasets, including one with 41K+ records, using Python, Pandas, and NumPy. I checked for missing values, duplicates, and inconsistent data to prepare analysis-ready datasets.
I used Pandas and Matplotlib for exploratory data analysis, creating more than eight visualizations to identify trends and outliers.
For my Financial Sales Analytics project, I analyzed 700+ transactions with SQL and designed an interactive Power BI dashboard to identify the countries and products performing best by profitability.
I also explored employee attrition across 1.4K+ records in an HR Analytics Dashboard project and examined factors affecting term deposit subscriptions in a 41K+ record Bank Marketing Campaign Analysis project. I work with SQL, Python, Excel, Power BI, and Tableau, and am completing a B.Tech in Computer Science, expected in 2027.
