Sean J. Tessman

Statistical Data Science student at the University of Connecticut with experience in statistical modeling, data analysis, and machine learning using Python and R. Skilled in exploratory data analysis, regression modeling, and building predictive models using real-world datasets. Experience working with tools such as pandas, scikit-learn, RStudio, and Quarto to clean data, analyze trends, and communicate insights. Seeking a data science or analytics internship to apply statistical and programming skills to real-world business and research problems.

• MLB Salary Prediction Using Linear Regression, University of Connecticut, Reproduced a published research study analyzing the relationship between MLB player salaries, age, and experience using linear regression., Obtained the original dataset and replicated results using R statistical modeling techniques., Evaluated regression assumptions, including linearity, normality, and homoscedasticity., Extended the analysis by filtering recent seasons and comparing salary trends across time., Produced a technical report using Quarto with reproducible code and statistical visualizations.
• Bike Rental Demand Prediction, Performed data validation and exploratory analysis on a 731-day bike-share dataset., Visualized seasonal and weather effects on bike rental demand., Built predictive models using Ridge Regression and Random Forest., Evaluated models using RMSE and R², achieving ~0.66 test R²., Identified key predictors of bike usage, including temperature, season, and weather conditions.

• Phi Delta Theta Fraternity, Member
• HuskyTHON, Fundraising participant supporting Connecticut Children’s Hospital
• Fitchburg State University Baseball, NCAA Division III Student Athlete