Grace Tenorio
Data Scientist (Generative AI)
Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolGrace Tenorio is a Data Scientist focused on generative AI with 11 years of experience building production ML systems at companies like Amazon and Drop. She blends strong engineering chops in Python, PyTorch, PySpark and Kafka with analytics expertise in SQL, Redshift and Airflow to deliver recommender and embedding-driven solutions. A University of Toronto computer science and statistics graduate, she has led data science teams and shipped recommendation and customer-analytics projects across retail and fintech contexts. Grace also writes about data science at datatheque.com and drop.engineering, sharing practical guides such as a hands-on post about building recommender systems with embeddings. Fluent in turning research into scalable pipelines, she brings both product focus and operational rigor to generative AI initiatives.
11 years of coding experience
6 years of employment as a software developer
Alliance Française de LyonBachelor of Science (B.Sc.) Computer Science and Statistics, Bachelor of Science (B.Sc.) Computer Science and Statistics at University of Toronto
English, French
Github Skills (4)
python7
science7
machine-learning6
data-science5
Programming languages (1)
Github contributions (5)
datatheque/datatheque.com
Sep 2017 - Jul 2021
a data science blog
Contributions:17 commits, 2 PRs, 40 pushes in 3 years 10 months
pythonsciencemachine-learningdata-science
neo4j-contrib/neo4j-data-science-yelp
Mar 2018 - Sep 2018
Contributions:16 commits, 15 pushes in 6 months
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