I'm a data scientist chasing my curiosities and dreams with an enthusiasm unknown to mankind. With a track record of capitalizing on my ambitions, I thrive in transforming data into actionable insights, turning possibilities into realities.
What I'm currently working on in my free time:
- +EV Bets - building automated full-stack SAAS site to showcase positive expected value in sports bets using data science (Python, PostgreSQL, React, Flask, Google Cloud Platform)
- Unexpected Points Added - free weekly sports analytics newsletter
What I've stopped working on in my free time:
- SP K Prediction App - utilized Streamlit to display advantageous starting pitcher strikeout prop bets
- Meechigan Moments - Shopify ecommerce custom products for iconic Michigan sports moments
Where I currently work:
- Accenture as an Analytics Manager in the Direct To Consumer space
What I want to work on:
- Data science projects and modeling. Sports would be a homerun.
Data Science Stuff:
Master of Applied Data Science - University of Michigan
Graduated August 2023. 3.97 gpa. Projects:
- Milestone One – College Football Financial Wins Analysis – data collection, cleaning, and analysis with visualizations from multiple libraries
- Milestone Two - NHL Salary Prediction Model – surprised & unsupervised machine learning to predict Average Annual Values for free agents
- Capstone – Reel Analytics – partnered with startup, built dataset, clustering, and logistic regression to provide unbiased feature weights to client
Volunteer Work:
- University of Michigan hockey team to build an R Shiny app that coaches use for instructional purposes with the players.
- Provided a professor with hundreds of scraped tabular cricket game data for future analysis
- Scraped and created a dataset for Team Demark and their women’s national handball
- 2023 Sloan Sports Analytics Conference Hackathon Participant. Used Ticketmaster data to identify ideal franchise expansion location
GitHub Portfolio Examples:
- Python - FanDuel homework, PrizePicks timeseries, PrizePicks NBA
- SQL - link coming
- Streamlit App - SP K Prediction
- Google Cloudless Function - link coming
Find me here:
- GitHub, X, LinkedIn, Email, SoundCloud