Tyler Gorecki - Data Science Professional

About Me

I'm a Data Science Professional with a Master's degree in Data Science from the University of Virginia and a Bachelor's in Applied Statistics with a focus on Business and Finance. I specialize in predictive modeling, machine learning, and translating complex data into actionable insights.

Currently, I work as a Data Scientist at AMEND Consulting, developing and deploying machine learning solutions for enterprise clients. My background spans business analytics, sports analytics, academic research, and public health applications.

Technical Skills

Languages

Python, R, SQL

Cloud & Data

Snowflake, Databricks, Git

Visualization

Power BI, Tableau, R Shiny

Specialties

ML, Bayesian Stats, Computer Vision

Featured Projects

Explore my key data science projects and research work. Visit my GitHub profile for my complete portfolio.

MLB Expected Runs Model

R Statistics

Built a predictive model that simulates baseball pitch-by-pitch outcomes to analyze lineup constructions and expected run values under different scenarios.

Simulated thousands of half-inning sequences
Developed framework for team-specific customization
Statistical analysis of lineup strategies

CFB Expected Points Model

Python ML

Developed an expected points model for college football play-by-play data to inform critical coaching decisions on 4th down scenarios.

Play-by-play simulation framework
Field position & down/distance analysis
Strategic decision optimization

MLB Strike Zone Analysis

R Shiny Visualization

Interactive dashboard analyzing MLB strike zone patterns with custom statistics (ESAA/ESPP) to identify bias and improve understanding of umpire calls.

Interactive R Shiny application
Custom statistical metrics
Hitter/pitcher comparisons

College Basketball Player Similarity

Python Analytics

Cosine similarity analysis comparing college basketball players based on multi-dimensional performance metrics. Identifies statistically similar player profiles across Division I.

MinMax normalized feature scaling
Multi-dimensional player comparison
Percentile-ranked similarity scores

Professional Experience

Senior Technical Analyst

AMEND Consulting

July 2025 - Present

Develop and deploy machine learning models for enterprise clients
Lead end-to-end analytics projects from conception to deployment
Translate business requirements into data-driven solutions

Data Scientist

UVA Sports Science and Analytics Collective

January 2023 - July 2025

Built data pipeline for UVA Men's Basketball Team from APIs to dashboards
Developed ACL Reconstruction Reference Dashboard for clinical use
Led data integration across UVA Athletic programs

Researcher

UVA Sports Analytics and Statistics Laboratory

September 2021 - May 2024

Analyzed college and professional sports data using R and Python
Developed Expected Strikes Above Average (ESAA) metric for MLB analysis
Researched optimal NFL punting strategies

Researcher

Visual Intelligence Laboratory

January 2023 - January 2024

Applied 3D computer vision to analyze swimmer kinematics
Developed generalizable models for motion analysis
Collaborated with faculty on motion modeling research

Data Science Intern

UVA Biocomplexity Institute

May 2023 - July 2023

Analyzed MRSA transmission through healthcare networks
Wrangled large datasets and built epidemiological models
Executed simulations on HPC clusters to inform public health policy

Get In Touch

I'm interested in data science, machine learning, analytics, and strategic projects. Feel free to reach out!

tgorecki20@gmail.com

(856) 375-0519