Ada Willingham

Business & Marketing Data Scientist @Google

Arlington Heights, IL, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jan 2022 — Present

Business & Marketing Data Scientist @Google

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Chicago, IL, US

Lead projects to analyze to identify patterns of risk, including fraud, brand risk, and regulatory non-compliance within various departments of Google. Regularly work with non-technical leads to present complex findings and create reusable and scalable analysis methods with LLMs, statistics, and machine learning testing-Identified misuse of SARIMX models and performance calculation, which resolved critical issues with a predictive analytics dashboard and improved the modeling of cafe spending-Analyzed the clustering process of Android Message spam detection through cosine similarity and Euclidean differencing to find inconsistencies in the clustering result, leading to helping the department create a new spam detection clustering algorithm-Conducted Chi-Square hypothesis testing, identifying that the sample population of manual reviews was not sufficient to identify all issues with the spam detection process-Uncovered significant financial discrepancies in the TAC monetizer, resulting in millions in overpayment. Resulted in modernizing the data pipeline from a previously manual process-Used LLMs to streamline the control validation process with a 76% accuracy rate to reduce manual time requirements.

EDUCATION

2013 — 2015

Towson University

Master’s Degree, Applied Mathematics - Optimization and Differential Equations

2009 — 2011

Towson University

Bachelors of Science, Mathematics

ABOUT ADA WILLINGHAM

As a Business & Marketing Data Scientist at Google, I lead data-driven projects to identify risk patterns, including fraud, brand risk, and regulatory non-compliance. Collaborating with non-technical leads, I focus on presenting complex findings and building scalable analysis methods using large language models, statistics, and machine learning testing. With a Master’s Degree in Applied Mathematics from Towson University, my work integrates advanced optimization and differential equations expertise to solve complex problems. My goal is to leverage data science to deliver actionable insights and innovative solutions that drive decision-making and organizational success.

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