Data Analyst & Scientist

Joshua
Hey

Joshua Hey

Experience and Passions

I a Systems Design Engineering student at the University of Waterloo with a growing focus on data analytics, machine learning, and sports analytics. I enjoy building tools that transform raw data into clear, actionable insight and care about details looking and working well.

My work and projects has given me experience in business intelligence (Power BI, SQL, DAX) and data science (Python, R, Shiny), with a particular interest in applying these skills to sports performance and strategy.

Outside of data work, sport is a big part of how I spend my time and think โ€” I'm passionate about basketball, volleyball, and football (soccer), which combined with my wealth of travelling experience naturally informs my analytical lens.

๐Ÿ€ Basketball ๐Ÿ Volleyball โšฝ Football ๐Ÿฆ Financial ๐Ÿ“Š Sports Data
UW
Systems Design Engineering
๐Ÿ Python
Coding Experience
๐Ÿ“Š Power BI
& SQL Work Experience
โšฝ๐Ÿ€
Sports Analytics Focus

Career Path

Data Strategy & Analytics Co-op
IDC WorldSource Insurance Network
Jan 2026 โ€“ Current  ยท  Mississauga, ON
Assisted in implementing stage one of a new Data Platform strategy, migrating legacy data and reporting processes to new diverse data sources via API calls and SFTP. Automated weekly and monthly reporting, reducing errors and saving manual labour.
SQLPower BI DAXPower Query
Business Analyst Co-op
Atlantic Packaging
May 2025 โ€“ Aug 2025  ยท  Scarborough, ON
Created an employee labour allocation dashboard, transforming and cleaning multiple data sources into a management comparison tool. Assisted in EPM implementation by validating and testing financial data.
Power BIDAX ExcelPower Automate
Finance Process Management Co-op
Atlantic Packaging
Sep 2024 โ€“ Dec 2024  ยท  Scarborough, ON
Streamlined AP department PO processing using an interactive BI Dashboard, reducing unprocessed POs from 1,300 to 700 and average PO close time from 60 to 30 days. Employed Power Automate to shift invoice processing from hourly to daily.
Power BIDAX ExcelPower Automate
Marketing Analytics & Chemical Intern
Greensolv
Jan 2024 โ€“ Apr 2024  ยท  Montreal, QC
Analyzed marketing trends in conjunction with Google Ads campaigns to increase engagement. Conducted chemical tests on client samples, helping maintain 90% product efficacy.
ExcelAnalytics Chemistry

Tools & Tech

Power BI IDC ยท AtlanticExpert
DAX IDC ยท AtlanticExpert
M / Power Query IDC WorldSourceAdvanced
SQL IDC WorldSourceAdvanced
Excel Atlantic PackagingAdvanced
PythonAdvanced
Pandas / NumPyAdvanced
Power Automate IDC ยท AtlanticProficient
GitHub / GitLabProficient
Machine Learning / KerasDeveloping
RDeveloping
C++Developing
ShinyFamiliar

What I've Built

Route Dominance Score
Route Dominance Score
View โ†—
Co-authored submission to the NFL Big Data Bowl 2026. A two-stage model combining XGBoost and an LSTM over 50 frames of spatial-temporal tracking data to isolate wide receiver skill from noise, paired with a Gaussian Spatial Influence model for frame-by-frame field ownership.
PythonXGBoost LSTMSpatial ModellingNFL
Combine RAPM Analysis
Combine RAPM Analysis
GitHub โ†—
Analysed the relationship between NBA combine measurements and Regularized Adjusted Plus-Minus (RAPM) to identify which physical attributes are most predictive of on-court impact.
PythonPandas RAPMNBA
Apple Stock Prediction
Apple Stock Prediction Model
GitHub โ†—
LSTM-based model using Pandas, Scikit-Learn Min-Max Scaler, and Keras to predict Apple closing stock prices. Achieved an RMSE of 4.14 on 60 days of held-out data.
PythonKeras LSTMScikit-LearnFinance
SEC Audit
SEC Audit
GitHub โ†—
Data pipeline and analysis tool for auditing SEC filings, extracting and processing structured financial data for review and reporting.
PythonPandas FinanceData Pipeline

Let's Connect

Open to data analytics roles, sports analytics research, and interesting projects.