Nitin Magdum

Nitin Magdum

Data Engineer

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IPL Data Science — Exploratory Analysis & Predictions

PythonPandasMatplotlibscikit-learnSeaborn

Deep exploratory data analysis on IPL cricket dataset (2008–2023) covering 900+ matches. Built interactive visualisations, identified key performance drivers, and trained predictive models for match outcome and player performance ratings.

An in-depth analysis of 15 seasons of IPL data revealing patterns in team performance, player consistency, and match-winning factors.

Analysis Highlights

  • Win-rate analysis by toss decision, venue, and batting order
  • Player performance ratings using composite scoring (strike rate, economy, average)
  • Time-series trend of team dominance across seasons
  • Logistic regression model predicting match outcome — 76% accuracy
GitHub