Calder Wyllie

804-248-8021 - 620 West 27th Street, Richmond VA, 23225 - cswyllie@asu.edu

INTERNSHIP OBJECTIVE:

Highly motivated 2H 2026 Data Science graduate, proficient in statistical modeling using R + Python (Pandas, NumPy + dplyr) + Java. Eager to apply Data Science passion to drive smart decision-making, competitive advantages and optimal results in a Marketing, Operation or Professional Sports environment. 

EXPERIENCES:

Nicholls State University Athletics - Performance Analyst - July 2025 - Present

• Applied Data Science to improve scouting accuracy + opponent tactical game strategies that contributed to a 150% YoY increase in goals scored + 2x games won. 

• Built KPI dashboard to track, e.g., xG, final third entries, press efficiency + defensive actions. 

Titanic Survival Analysis and Predictive Modeling (R Project)

• Analyzed survival outcomes by sex, class, age + fare, transforming raw data using dplyr to perform statistical tests (chi-square, t-tests) and built a logistic regression model predicting survival, with 80% accuracy.

Kenpom College Basketball Analytics (Python Project)

• Analyzed NCAA KenPom data using Python, Pandas, Seaborn + Matplotlib to identify trends in tempo, efficiency, strength of schedule + win rates, leading to development of an Underrated Index highlighting underdog teams meriting a second look. 

Spotify Analytics (Python Project)

• Built a machine learning model to predict Spotify song popularity. As well as, developing a content-based recommendation system that identifies songs with similar audio profiles.        

EDUCATION:

Arizona State University 

Undergraduate College - 2H 2026

Major: Data Science / GPA: 3.2 / 4.0

PROGRAMMING SKILLS + LANGUAGES:

R, Python (Pandas, NumPy, dplyr) + Java / French + Russian conversant

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