Professional Summary 💻
Data Scientist with a Mathematics BS, working towards a ML Engineering certificate. I am skilled in Python, SQL, and ML model training and deployment. Proficient in exploratory data analysis, big data pipelines and developing modularized Python scripts. Experienced in supervised and unsupervised ML algorithms, feature engineering, model tuning, and optimization. Adept at model evaluation and deployment, ensuring successful AI implementation. Passionate about continuous learning and problem-solving, dedicated to delivering business value.
Outreach and education
Between 2018 and 2022, it was my privilege to collaborate with the Tla'amin Nation (Coast Salish First Nation), Cybera and with Simon Fraser University on the development of free educational resources studying the complexity and mathematics in Indigenous tradition. These resources are freely available as part of the Callysto project.
Portfolio
Machine Learning
Resume
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Skills, frameworks and technology
TL;DR: Python data stack, ML (sklearn, keras), deployment to cloud providers.
Technical Writing
Speaking Engagements
Outside work 🥋 ꞎ 🌳
I love the outdoors and I recently started training Brazilian Jiu-jitsu. I am working towards a blue belt by end of 2023.
Open Source Contributions
- Ploomber
- JupySQL
- Fairlearn