Portfolio · Pittsburgh, PA

Connor
Dague

Aspiring data scientist turning everyday databases into insightful knowledge in all different types of fields. First-hand experience working with technology such as Trackman, KinaTrax, and NewtForce, to help coaches in-game decision making processes. Been a part of major P5 college programs for the last 4+ years.

PythonRSQLStatistical AnalysisBiomechanics

See my work Get in touch

Pitch ChartCD-10

// hover a pitch

Tracking systems in daily use

Years inside a P5 football program

Bowl games worked

Automated scouting pipeline shipped

01 — Background

About

I'm a recent industrial engineering graduate from West Virginia University. After working with the WVU Football program for 4+ years, I took up a role in the WVU Baseball Biomechanics & Performance Center as a Data Science Intern. In this role, I've helped clean, manage, and analyze player-tracking and motion-capture data, in addition to research projects and creating automated scouting reports. When collecting live data, I've had the chance to work sit in to capture data from former first-round picks like JJ Wetherholt and Alek Manoah, to James Wood and a variety of other professional players.

During my 4+ years in the WVU Football Program, I was a student manager who worked with coaches and players to help with any needs on/off the field on a daily basis. Mainly working with the defense, I took pride in ensuring practices, walk-thru and any other operations ran smoothly for an optimal practice environment. In the off-season, I'd also help with prospective recruiting events and donor relations.

For my capstone, I completed an internship at DVSport Software, the leading replay and film provided in all of sports. My work as a production intern, in addition to my personal projects using data from PFF, ESPN, FanGraphs, Statcast and more, allowed me to get a variety of different experiences pulling and reviewing data.

View Resume View Cover Letter

[ add assets/connor_pic_1 ]portrait photo

Player Profile

POSData Scientist / Analyst

SCHOOLWest Virginia Univ.

DEGREEIndustrial Engineering

CLASSDec 2025

HOMETOWNPittsburgh, PA

STATUSOpen to opportunities

02 — Game Log

Experience

Aug 2025 — Present

WVU Baseball

Data Science Intern · Biomechanics & Performance Center

Collect and analyze Trackman, KinaTrax, and NewtForce data for player evaluation and coaching strategy. Built an automated Python scouting report that delivers streamlined visuals and insights for in-game decision-making, in addition to research projects for topics of interest.

Aug 2021 — Dec 2025

WVU Football

Student Manager

Spent over 4 years supporting coaches and players across practices, games, recruiting events, and team operations. Traveled to 16 different stadiums across the countries, plus I provided on-field support at the 2021 Guaranteed Rate Bowl, 2023 Duke's Mayo Bowl, and 2024 Scooter's Coffee Frisco Bowl.

May 2024 — Aug 2024

DVSport Software

Production Intern

Supported production operations for a major NCAA DI football project and, helped build the foundation for building 180 unique Mobile Cart systems for sideline technology integration at DI FBS programs.

03 — Film Room

Projects

Sample page from the pitcher scouting report

[ add assets/scouting-report.png ]screenshot of the report

Automation · In production

Automated Scouting Report

After pulling pitch-level data from Statcast that MLB and various MiLB teams have available, I created a season-long report on any desired pitcher. This includes stats pulled from FanGraphs, in addition to a Stuff+ and Location+ model I created to measure each arm.

PythonSQLData Viz

Scouting Report Example →

Modeling

NFL Play Prediction & Animation

Using available NFL tracking data, I created an animation of a single play, while predicting run or pass based on pre-play movement and formation.

PythonRTracking Data

Animation Example →

Screenshot of the college basketball shot chart app

[ add assets/cbb-shot-chart.png ]screenshot of the app

Data Engineering

College Basketball Shot Chart App

After pulling every play from ESPN CBB API, I created a shot chart app that includes a Shot+ and Result+ rating to quantify the decision-making and quality of player.

PythonRData Management

CBB Shot Chart App →

[ add assets/puck_management_png.png ]a chart from the puck management analysis

Analysis · Tracking Data

Puck Management

Using tracking data, I created a rating system to evaluate how individual players handle the puck. Every position has a different weight value of features, based on position. Ratings such as pass eff, zone control, dump in and recovery success, puck management while contested/uncontested and location-specific values for every event that occurs. For example, defensemen have more stress on getting the puck to the offensive zone, rather than offenive output.

JupyterHockeyTracking DataStatistical Analysis

See the analysis →

04 — The Notebook

Writing

August 2026 · Medium

Coaches are overthinking 4th down decisions now more than ever.

Five years of FBS play-by-play, run through the same generic expected-points model, which tells us that coaches are too conservative, and it’s costing their teams points every single week.

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July 2026 · Medium

Does the Home Run Derby Really Ruin Your Swing?

A deep dive into recent Home Run Derby participants and whether their offensive game actually varies after participating in the All-Star festivities.

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May 2026 · Medium

The Evolution of Catchers' Stances

A look at how the one-knee setup has taken over behind the plate, and what six years of Statcast data reveal about framing, blocking, and catcher health along the way.

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More short pieces on baseball, data, and process → medium.com/@connordague10

05 — Get in Touch

Contact

Although I have a variety of different experience in different roles, I'm looking for data scientist / analyst roles — ideally in sports, player development, performance science or operations. If you're looking for someone with 4+ years of experience working in successful P5 programs, I'd love to talk.

EmailConnorDague10@gmail.com LinkedInlinkedin.com/in/connor-dague GitHubgithub.com/cdague10 Mediummedium.com/@connordague10 Twitter/Xx.com/cdague10