At InternBoot (Powered by Employment Express), I collected and consolidated data from structured sources, then cleaned and transformed it with Python, Pandas, and SQL for more reliable reporting.
I built exploratory reports and summarized findings for review. I also built and validated Logistic Regression and Random Forest models to support data-driven decision-making.
On my Supermarket Sales Analysis & Dashboard project, I analyzed more than 100 transactions to identify revenue trends, product performance, and customer behavior. I cleaned the data and created dashboards and a summary report with decision-ready insights.
For my AI-Powered Campus Intelligence & Dashboard project, I created an analytical process using SQL, Python, and Power BI to work with more than 100 student records. I built an interactive dashboard tracking academic and placement trends and applied machine learning models to identify at-risk students and estimate placement probability.
