Nikhil Saini

data analyst , ai ml engineer

jecrc foundation collegejaipur, Rajasthanfull_time, internship

Open to roles

PythonSQLPyTorchtensor flow

IPL Crunch '26 full analysis

IPL Crunch ’26 cut bias, analyzed 1,200+ matches, tested toss impact, key phases, and revealed hidde Process Python pipeline with Pandas, Seaborn, Matplotlib; Cricsheet data cleaned, aggregated, EDA run rates Results Toss myth: no edge.Death overs: decisive.Dot balls: 40%, key to pressure.IPL wins shaped by rotation Reflection running a multi-variate regression model incorporating these external factors

6 media filesView

This is Nikhil’s work on Wooble.

Build a profile that shows what you can do — and share it anywhere.

Build yours