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Tushal_ 498 User

@tushal_498user

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Sports analyst at Hudl using Python, Excel, and Tableau to model player performance and improve forecasting.

India

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At Hudl, I analyze player performance, match statistics, and historical data across games to support strategic decisions. My analysis improved decision-making accuracy by 20%.

I create reports, visualizations, and predictive models to make performance trends easier to understand and forecasting more reliable.

As a Data Analysis Intern at Prodigy Infotech, I analyzed datasets with SQL and Python, presented visualizations in Tableau, and collaborated on streamlining data collection processes.

Experience

Work history, roles, and key accomplishments

Current

Sports Analyst

Current

Hudl

Apr 2025 - Present (1 year 6 months)

Analyzed player performance, match statistics, and historical data across 50+ games, improving strategic decision-making accuracy by 20%. Created detailed reports, visualizations, and predictive models, increasing forecasting reliability by 30%.

Python Excel Tableau Data Analysis predictive modeling Sports Analytics

Data Analysis Intern

Prodigy Infotech

Apr 2024 - May 2024 (1 month)

Analyzed large datasets using SQL and Python, identifying trends and patterns that improved data-driven decision-making by 30%. Developed and presented data visualizations using Tableau, enhancing stakeholder understanding of complex datasets.

SQL Python Tableau Data Analysis Data Visualization

Education

Degrees, certifications, and relevant coursework

L.R. Tiwari College of Science and Degree

Bachelor's Degree, Data Science

Grade: CGPA: 7.69

Bachelor's degree in Data Science from L.R. Tiwari College of Science and Degree, affiliated with Mumbai University, completed in 2025 with a CGPA of 7.69.

R.D. National College of Science

Higher Secondary School

Grade: 503/600 marks

Higher secondary school education completed in 2021 with 503 out of 600 marks.

Sacred Heart Boy's High School

Secondary School

Grade: 277/500 marks

Secondary school education completed in 2019 with 277 out of 500 marks.

Udemy

Python for Data Science A-Z, Data Science

Completed a comprehensive course covering Python fundamentals, data cleaning, handling real-world datasets, and performing analysis for AI/ML workflows.