Maria Fabiano

Senior Data Scientist

United States
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Summary

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Senior
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Top School
Maria Fabiano is a Senior Data Scientist with nine years of experience blending applied machine learning, NLP, and large-scale data engineering to solve entity resolution and record linkage challenges. Currently pursuing an MS in Computer Science at UT Austin, she combines academic research in language-grounded reinforcement learning with production experience at Ancestry, where she led a team that linked 70 million historical records using Spark, AWS, and XGBoost. Her background includes industry internships at Google and Palo Alto Networks, where she built web-scraping pipelines, BERT-based classifiers, and high-performing customer-prediction models. Comfortable moving models from research to production, she has a track record of measurable impact (e.g., 60% linkage rate at 98% confidence and an 81% ROC AUC model) and a knack for translating messy, real-world data into reliable ML systems.
code9 years of coding experience
job6 years of employment as a software developer
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of Texas at Austin
bookBachelor of Science - BS, Computational and Applied Mathematics, Bachelor of Science - BS, Computational and Applied Mathematics at Brigham Young University
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Github Skills (6)

machine-learning6
data-science5
mathematics3
phonetics2
nlp1
subtitle1

Programming languages (2)

C++Jupyter Notebook

Github contributions (5)

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mariafabiano/lending-club

Dec 2017 - Feb 2019

Contributions:4 PRs, 16 pushes, 4 branches in 1 year 2 months
mariafabiano/Lab-Development

Sep 2016 - Jan 2017

Contributions:17 pushes, 2 branches in 3 months
curriculumfoundationsmathematicsapplied-mathematicsapplied
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Maria Fabiano - Senior Data Scientist