I am a product manager on the Microsoft 365 Copilot team and studied data science at UC Berkeley. As a side-project, I mantain a Python package called PyLabel to help manage computer vision datasets. Check it out at https://github.com/pylabel-project/pylabel/.
My github mostly has projects I did as part of the Masters of Information and Data Science program at UC Berkeley.
- Microsoft
- Seattle
- https://www.linkedin.com/pub/alex-heaton/64/429/aa4
Pinned Loading
- pylabel-project/pylabel
pylabel-project/pylabel PublicPython library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.
- gdpval-docx-fix
gdpval-docx-fix PublicFixes corrupted Word files in the OpenAI GDPval dataset.
Python
- Random-User-Declarative-Agent-
Random-User-Declarative-Agent- PublicSample declarative agent for Microsoft 365 Copilot using the public random user generator API https://randomuser.me/
- spacy-aspect-extraction
spacy-aspect-extraction PublicUsing the spaCy NLP library for aspect extraction from user generated online reviews.
Jupyter Notebook
- Spark-Data-Pipeline
Spark-Data-Pipeline PublicAn end-to-end data pipeline using Kafka, Spark, Presto and other services running in Docker containers.
- Character-Recognition
Character-Recognition PublicDigit classification using K nearest neighbors and naive bayes models.
Jupyter Notebook 1
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.
Uh oh!
There was an error while loading. Please reload this page.




