Arpita Parida

Software engineer

C.v. Raman Global Universityfull_time, internship, freelance

Open to roles

PythonSQLJava

IPL Crunch '26: Cracking Cricket Opinions with Ball-by-Ball Data

Tests if traditional IPL toss and phase advantages hold up against 1,218 match data rows. Process Built a data pipeline to analyze 1,218 IPL matches, debunking the toss myth using Pandas. Results Toss win rate is 51.5%. Middle over run acceleration (74.3 runs average) decides match outcomes. Reflection Implement machine learning for win prediction and create an interactive Streamlit dashboard.

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