I'm a data-driven engineer and AI enthusiast, currently completing a BASc in Management Engineering with an AI emphasis at the University of Waterloo. I combine engineering rigor with hands-on data work to build scalable dashboards, ML models, and reliable data pipelines. I've applied these skills across Tesla, Electronic Arts, AMD, and academic labs to improve maintenance, user engagement, and wildfire risk prediction. I enjoy turning complex data into clear impact and collaborating across cross-functional teams.

Matthew Erxleben

I'm a data-driven engineer and AI enthusiast, currently completing a BASc in Management Engineering with an AI emphasis at the University of Waterloo. I combine engineering rigor with hands-on data work to build scalable dashboards, ML models, and reliable data pipelines. I've applied these skills across Tesla, Electronic Arts, AMD, and academic labs to improve maintenance, user engagement, and wildfire risk prediction. I enjoy turning complex data into clear impact and collaborating across cross-functional teams.

Available to hire

I’m a data-driven engineer and AI enthusiast, currently completing a BASc in Management Engineering with an AI emphasis at the University of Waterloo. I combine engineering rigor with hands-on data work to build scalable dashboards, ML models, and reliable data pipelines.

I’ve applied these skills across Tesla, Electronic Arts, AMD, and academic labs to improve maintenance, user engagement, and wildfire risk prediction. I enjoy turning complex data into clear impact and collaborating across cross-functional teams.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Spanish; Castilian
Beginner

Work Experience

Data Engineering Intern at Tesla
December 1, 2024 - September 10, 2025
Developed fault-detection queries in SQL on Megapack ECU telemetry, triggering real-time alerts for service technicians; Configured Helm charts to route ECU signals into SQL alert logic, enabling fleet-wide alerting updates; Engineered autoencoder models in Python to uncover anomalous behaviour in telemetry data, enabling preventative maintenance
Data Analyst Intern at Electronic Arts
August 1, 2023 - September 10, 2025
Developed a player segmentation model for FIFA 23 using K-Means Clustering in Python to categorize 9 million players into 6 groups; Classified players into defined groups weekly using Random Forest, enabling targeted marketing strategies for FIFA vanity releases; Utilized SQL to query 8+ KPIs measuring FIFA player engagement, monetization, and churn, delivering 6 ad hoc reports for stakeholders
Data Scientist Intern at AMD
December 1, 2022 - September 10, 2025
Developed XGBoost model to forecast software defect resolution time, achieving 80% accuracy and optimizing sprint planning; Implemented model predictions into a Flask API to provide defect resolution time estimates directly on respective Jira tickets
Undergraduate Research Assistant at University of Waterloo
August 1, 2024 - September 10, 2025
Processed BC weather/topography data using Python and Pandas to predict wildfire risk; Conducted literature review on Deep Learning for wildfire prediction and co-authored a review paper in ISPRS Journal; Continued research with Waterloo’s AI design team WAT.ai, utilizing ERA5 and MODIS datasets, and testing deep learning models
Data Scientist Intern at TMX Group
April 1, 2022 - September 10, 2025
Built SARIMA models in Python to forecast weekly trading volumes for 10 derivatives and equities on the Toronto Stock Exchange; Automated data processing of Stats Canada data using Python, Pandas, and Google API, reducing monthly labour by 20+ hours; Leveraged SQL and Tableau to analyze trading metrics and market shares, fulfilling 8 ad hoc requests from market maker clients
Data Analyst Intern at Rogers Communications
August 1, 2021 - September 10, 2025
Built 5 Power BI dashboards for KPI tracking and used Python to analyze Jira project data, optimizing team performance

Education

BASc in Management Engineering, Option in Artificial Intelligence at University of Waterloo
September 1, 2020 - April 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Media & Entertainment

Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more