Hi, I'm Katherine, |
I am a Machine Learning Engineer at PayPal, working on fraud risk detection, compliance, and agentic AI. Previously, I was a Data Scientist at TikTok, where I drove ads measurement through large-scale experimentation and causal inference.
I hold a Master of Business Analytics from MIT and a B.S. in Applied Mathematics & Statistics from Emory University.
I’m interested in building production ML systems and AI-powered products.
Experience
- 2025 – now : Machine Learning Engineer @ PayPal (Fraud Detection, Agentic AI)
- 2023 – 2025: Data Scientist @ TikTok (Ads Measurement, A/B Testing)
- 2022 – 2023: Master of Business Analytics, MIT Sloan / Operations Research Center Data Scientist Intern, MIT Sloan x Comcast – upsell recommendation with RL
- Capstone @ Comcast (Reinforcement Learning)
- Analytics Lab @ SAP (NLP)
- 2018 – 2022 · B.S. Applied Mathematics & Statistics; Economics, Emory University
Featured Projects
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Product Matching with Contrastive Learning – supervised contrastive learning and CLIP for product matching in e-commerce
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Portfolio Management with RL – reinforcement learning for cryptocurrency portfolio optimization
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Predict GDP Growth – quantile regression + random forest for economic forecasting