Shay Affek is an independent data science consultant and leader with 11 years of experience building and scaling AI teams and data organizations across startups and enterprises. He combines hands-on ML and MLOps engineering—designing Databricks-based lakehouses and production models—with strategic advisory work for companies like LeO, BigPanda, and Pic-Time. As co-founder and volunteer CEO of Datahack he champions diversity in data science in Israel, and he brings that outreach into academia through lectures on deep learning, NLP and visualization at Tel Aviv University and other colleges. Shay holds an MSc in Computer Science and an MBA focused on data science, and maintains practical open-source engagement (curating Twitter datasets) that reflects a pragmatic focus on tooling and reproducibility.
11 years of coding experience
12 years of employment as a software developer
Co. Lab - A Lab for Shared Society, Co. Lab - A Lab for Shared Society at UJA Federation New York & The Jewish Arab Center for Peace
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at The Hebrew University of Jerusalem
Master of Business Administration - MBA Business Management specializing in Data Science, Master of Business Administration - MBA Business Management specializing in Data Science at Tel Aviv University - Coller School of Management
Reimagining Business Excellence 1st Cohort, Reimagining Business Excellence 1st Cohort at University of Notre Dame
Contributions:59 commits, 3 PRs, 59 pushes in 3 years 2 months
Contributions summary:Shay primarily contributed to the repository by updating and modifying the README.rst file. These updates included adding links to datasets and tools related to Twitter data, as well as making improvements to the document's structure and content. The commits demonstrate a focus on curating and expanding the list of resources, enhancing its usefulness to the target audience. The user seems to be working on organizing and categorizing the information within the README to make it easier to navigate and understand.
Persistent, stale-free, local and cross-machine caching for Python functions.
Contributions:28 releases, 96 reviews, 227 commits in 6 years 4 months
decoratorspythonmemoizememoizationpickle
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