This project performs Exploratory Data Analysis (EDA) on IPL match-level and ball-by-ball datasets to uncover team and player performance insights across 15+ seasons
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Updated
Apr 19, 2026 - Jupyter Notebook
This project performs Exploratory Data Analysis (EDA) on IPL match-level and ball-by-ball datasets to uncover team and player performance insights across 15+ seasons
End-to-End IPL Data Analytics Project using Python, SQL, and Power BI to analyze team performance, player statistics, and venue impact.
Interactive IPL Analysis Dashboard built using Power BI to analyze team performance, batting and bowling statistics, toss impact, player achievements, and season-wise insights.
End-to-end cricket analytics pipeline — ball-by-ball ML scoring, win probability, LLM narrative generation, and social media content from live match data
IPL batting evolution insights (2008–2025) featuring exploratory data analysis and a real-time machine learning Chase Win Probability Predictor built with Streamlit.
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