Jennifer S is an AI Engineer and data science & engineering consultant with over a decade of experience turning messy data into production ML systems for large retailers and startups. She has built ETL/ELT pipelines, developed proof-of-concept and production ML models, and led data engineering teams at organisations including John Lewis, LADbible Group, and SpareRoom. A PhD-trained neuroscientist with an information visualization master’s, she blends rigorous research thinking with pragmatic engineering to solve real-world problems. Jennifer also co-organises PyData Manchester, has spoken on prominent Python podcasts about parallel Pandas and topic-model visualisation, and runs a data consultancy, demonstrating both community leadership and entrepreneurial drive.
11 years of coding experience
13 years of employment as a software developer
BSc Neuroscience, BSc Neuroscience at Cardiff University / Prifysgol Caerdydd
Doctor of Philosophy (PhD) Neuroscience, Doctor of Philosophy (PhD) Neuroscience at The University of Manchester
General Assembly
Master in Professional Studies Information Visualization, Master in Professional Studies Information Visualization at Maryland Institute College of Art
Following blog post https://medium.com/fullstackai/how-to-deploy-a-simple-flask-app-on-cloud-run-with-cloud-endpoint-e10088170eb7 by Takashi Nakamura to deploy a python Flask app with Endpoint.
Contributions:103 PRs, 108 pushes, 9 branches in 2 months
Contributions:21 commits, 20 pushes, 1 branch in 2 months
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