Applied Data Science • Analytics • Sports Analytics

Hi, I'm Arthur Acker.

I'm a data scientist who loves turning messy, real-world data into things people can actually use — whether that's a competition-winning sports dashboard, a smarter operations tool, or a bot-detection pipeline. I care about the full stack: from cleaning raw data to shipping something clear and useful.

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UChicago '26
MS Applied Data Science
Python • R • SQL
Core stack
~90%
Search speedup at Hutchinson

About

I'm a Master's student in Applied Data Science at the University of Chicago (Expected Aug 2026), building on a B.Sc. in Statistics & Computer Science from McGill (2021–2025). My background combines rigorous statistical theory with hands-on software engineering, giving me a strong foundation across machine learning, statistical inference, and data engineering.

I'm particularly drawn to projects where data directly informs decisions — optimizing systems, understanding human behavior, or improving performance in applied settings like sports analytics. Through internships, hackathons, and independent projects, I've learned the importance of writing maintainable code, validating assumptions, and presenting results in ways that both technical and non-technical audiences can act on.

Projects

Selected work (more on GitHub).

Soccer Analysis Dashboard — McGill Hackathon

End-to-end pipeline to visualize soccer player metrics and performance insights using R Shiny and web scraping. Presented the final tool to a panel of judges — earned 1st place at the competition.

R Shiny Web Scraping Sports Analytics Data Visualization

Endurance Analytics Dashboard (Strava)

Code

Streamlit dashboard that pulls Strava activity data and analyzes training load, fatigue/readiness, and race predictions using explainable rules + time-series analytics.

Python Streamlit Strava API Time Series

Safest Route Directions — Hackathon (Bee Safe)

Code

Web application to enhance safety awareness and route planning in Montreal. Uses a map interface with hex overlays representing safety zones to help users choose routes based on safety considerations.

Python Dash Maps Graph Algorithms

Twitter Bot Detector

Code

Applied NLP and cosine similarity-based clustering alongside feature engineering (profanity, emoji detection, grammar signals) to identify bots injected into a large tweet dataset. Achieved ~90% accuracy.

Python NLP Clustering

NASA Space Apps: Asteroid Impact Simulator

Code

Streamlit educational app to explore asteroid impact scenarios with "confidence level" guardrails, plus optional NASA feeds integration for current events/context.

Python Streamlit Education

Taylor Swift Media Analysis

Code

Analysis of Taylor Swift's media presence using web scraping and NLP to identify trends and patterns. For details, see the written report in the repo.

Python Web Scraping NLP

Experience

Recent roles and impact.

Hutchinson Trenton — Data/Analytics Intern

Sep 2024 – Aug 2025

  • Rebuilt internal database interface in Python, adopted by 20+ engineers across the team.
  • Redesigned queries and introduced targeted indexing strategies — cut search latency from ~90s to under 10s (~90% improvement).
  • Developed automated data integrity and debugging scripts, reducing downtime and improving maintainability.
SQL Python Database Design Performance Tuning Data Engineering

Hutchinson Burbank — Data/Analytics Intern

May 2024 – Aug 2024

  • Built Python ETL pipelines to integrate and reconcile ERP and QMS data, improving cross-team data accuracy by 35%.
  • Designed a centralized analytics layer to standardize fragmented multi-source data for scalable reporting.
  • Deployed a multi-tab interactive dashboard with dynamic visualizations, reducing manual reporting time and accelerating data-driven decisions.
Python ERP QMS Data Integration Business Intelligence

Hutchinson Burbank — IT Intern

Jul 2022

  • Implemented a Redmine-based ticketing system deployed across IT teams in North America.
  • Automated email ingestion via IMAP/POP3, improving response efficiency by ~30%.
Redmine Automation Python IMAP/POP3

Academics & Hackathons

Selected advanced coursework and applied competitions.

Relevant Coursework

University of Chicago

  • Applied Machine Learning
  • Fundamentals of Statistical Learning
  • Time Series

McGill University

  • Applied Regression & Generalized Linear Models
  • Sampling Theory & Design of Experiments
  • Statistical Inference
  • Database Systems
  • Algorithms & Data Structures

Hackathons

  • 🏆 Soccer Analysis Dashboard — McGill Hackathon · 1st place. Built a soccer analytics dashboard using R Shiny and web scraping, presented to a panel of judges.
  • Bee Safe — Concordia Hackathon · Built a safety-aware routing system using graph algorithms and geospatial data.
  • NASA Space Apps Challenge · Developed an educational asteroid impact simulator with Streamlit and NASA data feeds.

Contact

Best way to reach me:

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