Suraj Kolli
@surajkolli
I turn complex materials and sports datasets into actionable visual insights.
United StatesWhat I'm looking for
I've analyzed NBA officiating data, semiconductor properties, and materials testing results to turn large, unstructured datasets into clear performance insights.
For my NBA Referee Accuracy Analysis project, I cleaned and structured a 15,000-row dataset in MySQL and built an interactive Power BI dashboard showing correct-call percentages and error rates across call types, game contexts, clock times, and referees.
At Purdue, I automated semiconductor data-cleaning workflows in Python, created Matplotlib visualizations, and used machine-learning regression models to predict perovskite properties including decomposition energy, formation energy, and band gap.
I've also supported materials engineering at Nexteer Automotive by building property-data databases, producing analytical reports, and validating automotive component failure analysis with SEM, EDX, and FTIR.
Experience
Work history, roles, and key accomplishments
NBA Referee Accuracy Analysis
Personal Project
Apr 2026 - Jul 2026 (3 months)
Cleaned and structured a 15,000-row NBA Referee Last Two Minute Report dataset using MySQL, and built an interactive Power BI dashboard to visualize accuracy trends across officiating scenarios.
Intramural Head Supervisor
Purdue Recreational Wellness
Aug 2025 - Jun 2026 (10 months)
Managed multiple concurrent operational and staffing responsibilities in a fast-paced environment, and conducted training performance evaluations to support staff development.
Senior Design Project - Hydrogen Embrittlement Testing
Aug 2025 - Jun 2026 (10 months)
Analyzed tensile testing and thermal desorption spectroscopy data in Excel, using INDEX/MATCH and pivot tables to summarize outcomes by treatment condition, and built correlation plots linking surface treatment parameters to mechanical properties.
Cleaned and preprocessed a 9,000-row semiconductor properties dataset, automated the cleaning pipeline in Python, and engineered visualizations using Matplotlib to identify relationships between material properties and performance.
Analyzed perovskite semiconductor datasets using Python and implemented machine learning regression models to predict properties, presenting findings to professors and peers.
Materials Engineering Intern
Nexteer Automotive
May 2023 - Aug 2024 (1 year 3 months)
Built and maintained a structured database of material and mechanical property data, produced analytical reports for clients, and conducted failure analysis using SEM, EDX, and FTIR instrumentation.
Education
Degrees, certifications, and relevant coursework
Purdue University
Bachelor of Science, Materials Science and Engineering
Pursuing a Bachelor of Science in Materials Science and Engineering, with expected graduation in May 2026.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
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