Portfolio
ML models, data analysis, and tools I've built.
End-to-end ML web app using Streamlit + Logistic Regression, achieving 84.7% accuracy predicting placement from CGPA/IQ.
EDA + feature engineering pipeline on 12,000+ anime entries, filtering statistical outliers to surface acclaimed titles.
EDA on a 5,000-order dataset (~₹20.67M revenue), surfacing top regions, categories, and high-value customer patterns.
Analysis of GenAI usage vs academic performance across 50,000 records.
IPL 2022 match-level analysis covering team performance, toss impact, and player stats.
A simple Notepad app built with Python & Tkinter — New/Open/Save operations with a clean menu bar.
A basic finance tracker — add expenses, view expenses, and see totals.