Ridham Patel
Data Engineer Intern @ Tesla
About
I'm a junior at Purdue, double-majoring in Data Science & Applied Statistics. I build models that solve business problems - from predicting user churn to optimizing delivery logistics. Most recently, I designed an A/B test using Spotify data that drove a 9.7% engagement lift while catching a skip rate guardrail violation that would've hurt user experience. I've worked with datasets ranging from 32K song catalogs to 197K delivery records, using Python, R, and SQL to find patterns that lead to real decisions. My approach is equal parts statistical rigor and business curiosity: I don't just run models, I figure out what questions matter and why the answers should change how a company operates. On campus, I TA for Python and R courses, and was recently promoted to Trainee Head TA (Jan 2026) to shadow course coordination and Head TA duties. This keeps me sharp at translating technical work for different audiences.
United States
West Lafayette
Information Technology & Services
Statistical Data Analysis, Product Strategy, Data Storytelling, Metrics Definition, Business Strategy, Trade-off Analysis, Data Engineering, Data Annotation, Cross-team Collaboration, Analytical Thinking, Leadership, Mentoring, TCN, Data Preprocessing, Tableau, KPI Dashboards, ETL , SQL, Hypothesis Testing, A/B Testing
Experience

Undergraduate Teaching Assistant
West Lafayette, Indiana, United States
• Promoted to Trainee Head TA (Jan 2026) to shadow course coordination and Head TA duties • Support 50+ students in Python, R, SQL, and applied statistics through office hours

Student Mentor
West Lafayette, Indiana, United States
• Cultivate a supportive environment for one first-year student in the College of Science through biweekly mentorship sessions, resulting in improved academic performance and mental well-being

Undergraduate Researcher
West Lafayette, Indiana, United States
Data Science for Smart Cities • Engineered 100+ ML-ready labeled datasets and prepare spatiotemporal features for computer vision and predictive modeling in smart-city analytics • Contributed to model-design discussions and annotated 95+ roadway images to strengthen computer-vision training data

Undergraduate Data Science Researcher
West Lafayette, Indiana, United States
• Preprocessed 40 years of weather and yield data across 20+ variables by handling missing values, adjusting data types, and standardizing formats to prepare datasets for machine learning analysis • Collaborated with BASF on machine learning models to predict grapevine yields, supporting TCN analysis that highlighted three weather variables most correlated with yield outcomes
Ridham Patel's Contact Information
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