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I’m a driven Data Scientist who thrives on discovery, problem-solving, and continuous growth. Through the UBC Master of Data Science program, I gained a rigorous foundation in statistics, data analysis, and software engineering. I’ve become fluent in Python, R, and SQL, and I leverage these language to create machine learning models and AI solutions that deliver real impact. I bring precision, collaboration, and determination to every challenge, turning complex problems into actionable results.…I’m a driven Data Scientist who thrives on discovery, problem-solving, and continuous growth. Through the UBC Master of Data Science program, I gained a rigorous foundation in statistics, data analysis, and software engineering. I’ve become fluent in Python, R, and SQL, and I leverage these language to create machine learning models and AI solutions that deliver real impact. I bring precision, collaboration, and determination to every challenge, turning complex problems into actionable results.

Matthew T. Pin

Data Scientist, Data Analyst, Full Stack Developer, +4

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I’m a driven Data Scientist who thrives on discovery, problem-solving, and continuous growth. Through the UBC Master of Data Science program, I gained a rigorous foundation in statistics, data analysis, and software engineering. I’ve become fluent in Python, R, and SQL, and I leverage these language to create machine learning models and AI solutions that deliver real impact. I bring precision, collaboration, and determination to every challenge, turning complex problems into actionable results.…I’m a driven Data Scientist who thrives on discovery, problem-solving, and continuous growth. Through the UBC Master of Data Science program, I gained a rigorous foundation in statistics, data analysis, and software engineering. I’ve become fluent in Python, R, and SQL, and I leverage these language to create machine learning models and AI solutions that deliver real impact. I bring precision, collaboration, and determination to every challenge, turning complex problems into actionable results.

Available to hire

Coquitlam, Canada

I’m a driven Data Scientist who thrives on discovery, problem-solving, and continuous growth.

Through the UBC Master of Data Science program, I gained a rigorous foundation in statistics, data analysis, and software engineering. I’ve become fluent in Python, R, and SQL, and I leverage these language to create machine learning models and AI solutions that deliver real impact.

I bring precision, collaboration, and determination to every challenge, turning complex problems into actionable results.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Data Scientist at Linington Lab - NIH

January 1, 2022 - Present

Trained and deployed machine learning SVM models (PyTorch) that reduced internal curation times by 90% by automatically identifying email outreach candidates. Created BERT embeddings NER model augmented with LLM querying for low-confidence cases, lowering submission drop-offs by 22% via reliable auto-fill on a client-facing web interface. Implemented CI/CD pipelines for deploying Dockerized microservices to AWS with Kubernetes-based scaling and monitoring, reducing server downtime by 45% year-over-year. Conducted A/B, causal, and multivariate hypothesis testing on outreach email click-through data, driving an 80% increase in conversion rates through optimized wording, formatting, and follow-up timing. Designed Tableau dashboards for KPI tracking reducing client-facing submission drop-offs by 23% by highlighting friction points. Engineered a full-stack client-facing uploads platform (APIs, backend, frontend, data modeling, DevOps) increasing data acquisition volume by 347%.

Data Scientist (Master’s Capstone) at Sensing in Biomechanical Processes Lab, University of British Columbia

June 1, 2021 - October 15, 2025

Developed a dashboard suite that increased research workflow efficiency by 36% through an intuitive technical solution for accessing specialized research data. Accelerated release speed and quality by leveraging Git-based collaboration and full unit test coverage.

Senior Data Scientist at Linington Lab – NIH

January 1, 2022 - Present

Trained and deployed SVM models (PyTorch) that reduced internal curation times by 90% by automatically identifying email outreach candidates; created BERT embeddings NER model augmented with LLM querying for low-confidence cases, lowering submission drop-offs by 22% via reliable auto-fill on client-facing web interface; implemented CI/CD pipelines to deploy Dockerized microservices to AWS with Kubernetes scaling and monitoring, reducing server downtime 45% YoY; conducted A/B, causal, and multivariate hypothesis testing on outreach email click-through data, driving an 80% increase in conversion rates; designed Tableau dashboards for KPI tracking to reduce client-facing submission drop-offs by 23% and highlight UX friction points; engineered full-stack client-facing uploads platform (APIs, backend, frontend, data modeling, DevOps), increasing data acquisition volume by 347%.

Data Scientist (Master’s Capstone) at Sensing in Biomechanical Processes Lab - University of British Columbia

June 1, 2021 - October 15, 2025

Developed dashboard suite that increased research workflow efficiency by 36% through an intuitive technical solution for accessing specialized research data; Accelerated release speed and quality by leveraging Git-based collaboration and full unit test coverage.