Alexandra Saizan
Responsible AI Manager at Accenture
Alexandria, Virginia, United States
Summary
🤩
Rockstar🎓
Top SchoolAlexandra Saizan is a Responsible AI Manager with a decade of experience applying data science to public-interest and government problems, now advising retail clients on ethical ML practices at Accenture. She combines hands-on modeling and production deployment skills (Python, R, Databricks, mlflow) with policy-focused work, having reduced manual processing times by 80% and automated DOJ reporting that cut analyst effort by 75%. A maintainer and technical writer for the widely used Fairlearn project, she specializes in fairness assessment and clear documentation of fairness metrics and APIs. At Guidehouse she led FATE toolkit adoption and built end-to-end solutions—from SQL-backed Dash apps to Shiny and PowerBI dashboards—that translated complex analytics into operational decisions. Trained in economics (UT Austin, Tulane), she brings a rare blend of quantitative rigor, product-minded engineering, and a persistent commitment to social justice in data-driven systems.
10 years of coding experience
7 years of employment as a software developer
Master of Arts (M.A.), Economics, Master of Arts (M.A.), Economics at The University of Texas at AustinBachelor of Applied Science (B.A.Sc.), Economics, Bachelor of Applied Science (B.A.Sc.), Economics at Tulane University
Github Skills (5)
user-guide10
documentation10
f4
n4
ai4
Programming languages (6)
Github contributions (5)
fairlearn/fairlearn
Aug 2021 - Jul 2022
A Python package to assess and improve fairness of machine learning models.
Role in this project:
Technical Writer
Technical WriterContributions:1 release, 228 reviews, 8 commits in 11 months
Contributions summary:Alexandra primarily contributed to the project's documentation. They added and updated content within the user guide, specifically focusing on the "fetch_boston" dataset and fairness assessment methodologies. Their work involved revising the structure and content of the documentation, including explanations of fairness metrics. The user also updated existing documentation related to the API.
python-packagefairness-assessmentfairness-mlpythongroup-fairness
alliesaizan/alliesaizan.github.io
Feb 2018 - Sep 2021
Allie Saizan's personal site
Contributions:1 PR, 43 pushes, 2 branches in 3 years 7 months
react
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