SUMIT KUMAR

I've built end-to-end analytics projects that turn raw retail, vendor, and customer data into actionable reporting. Using Python, MySQL, SQL Server, and Power BI, I clean data, model it, and communicate findings through dashboards and recommendations.

In my Ecommerce Data Analyst project, I processed more than 60K retail records, wrote 15+ SQL KPI queries, and created a Power BI dashboard with 6+ visuals. For vendor performance analysis, I combined five raw tables, identified 198 pricing opportunities, and used t-tests to validate performance differences.

I've also developed an opinion-mining platform using Python, NLTK, and Scikit-learn to classify sentiment and detect fake reviews across 1,000+ reviews. My NLP workflow includes text preprocessing, TF-IDF, and machine learning models for scalable review analysis.

I'm building strong foundations in statistics, machine learning, data warehousing, ETL, MLOps, NLP, and Generative AI analytics while pursuing a B.Tech in Information Technology.