Welcome to my portfolio page! My name is Steve and I am a data science student at Notre Dame (Class of 2026). This site is intended to showcase my data science skills and interests.
Current Courses: Databases & Data Architectures, Storytelling & Communication in Data Science
Completed Courses: Intro to Machine Learning, Linear Models & Time Series, Probability & Statistics, R for Data Science, Python for Data Science
Projects
1. Histograms & Hoops (Streamlit App)
During the Fall 2024 semester, I took courses in Probability & Statistics and Python programming. I wanted to come up with a project that would help me apply the concepts I was learning in both classes. In Statistics, we covered topics like histograms, probability distributions, and random variables. One day, while watching a basketball game with friends, I realized that the abundance of available basketball data would be a great resource to apply these techniques.
This app, built with Python and Streamlit, uses data from the NBA API, and focuses on box scores for all players in the 2023-2024 NBA season. It allows users to explore histograms of various player statistics and also estimate the probability of a player reaching a specific performance threshold, like scoring 30 points in a game. In a future version, I plan to expand the app by adding more variables and using regression models to improve prediction accuracy.
2. SV Cruises Dashboard (Tableau)
I recently walked the Camino de Santiago in northern Spain, where I met a fellow pilgrim from Denmark who shared stories about his home and travels through Europe. Ever since, I’ve been dreaming of taking a Scandinavian cruise. For fun, I decided to simulate data for a fictitious cruise company and build an interactive dashboard in Tableau to practice my data visualization skills.
This project involved designing relationships using Tableau’s logical data model, developing calculated fields and Level of Detail (LOD) expressions, and creating dynamic KPIs with contextual breakdowns. Along the way, I tackled common data aggregation challenges and improved my ability to structure metrics clearly for executive-level dashboards.
Hopefully, I’ll get to turn this dream vacation into a reality soon!
### About Me
I’m a marketing professional with 9 years of experience working for AT&T. Marketing and data science are intricately connected, which is why I am currently pursuing a Master’s degree in Data Science. I love helping executives answer questions about what’s going on with their business.
I live in Miami, FL with my wife Alejandra and my dog Albert.
Last Updated: May 14, 2025