Kristie Wirth is a Senior Data Scientist based in Denver with nine years of experience turning behavioral data into actionable products, particularly using NLP and topic modeling. She has driven impactful production work at Zapier—building recommendation engines, churn/up-sell models, an automated A/B testing web app, and an NLP bot that resolves 8% of support tickets—and later scaled analytics and DBT-driven data models at Woebot Health. Her background in psychology and hands-on research gives her a rare strength in designing experiments and interpreting human-centered data beyond pure metrics. Kristie is comfortable spanning the full ML lifecycle from exploratory clustering and topic models to deployable web applications that surface insights for users and operators. She consistently prioritizes practical solutions that translate complex models into simple, measurable actions for product and support teams. Unexpectedly, her early work in homelessness case management and behavioral research informs a pragmatic, empathetic approach to product analytics and user-centered model design.
8 years of coding experience
10 years of employment as a software developer
Data Science, Data Science at Galvanize Inc
Bachelor of Science (B.S.) Psychology, Bachelor of Science (B.S.) Psychology at University of Wisconsin–Oshkosh
Data Tools (Dat To) is a package with various data tools to help in data analysis and data science work, such as natural language processing and machine learning techniques.
Contributions:1 release, 4 reviews, 393 commits in 1 year 11 months
techniquesdata-analysispythonsciencedata-science
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