Neeraj Kumar

Data Analyst

Greater Noida Institute of Technologyfull_time, internship, freelance

Open to roles

PythonSQLMachine Learningpandas

Wooble IPL CRUNCH 26 Data Analytics

In IPL Crunch ’26 Data Analysis, we analyze important match insights such as the relationship between toss winners and match winners, top batting performances, and bowling statistics. This project helps in understanding team strategies, player performance, and match trends throughout the tournament. The batting analysis highlights the highest run scorers, strike rates, and consistency of players, while the bowling analysis focuses on wickets taken, economy rates, and overall bowling impact. Through data visualization and statistical analysis, the project provides meaningful insights into the p Process 1. First, we clean the data 2. We have done exploratory data analysis 3. Then we analyze all parts of the data based on the given question 4. After that, we visualize the data in a chart

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This is Neeraj’s work on Wooble.

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