Kerry Mills

• Machine Learning and Deep Learning for prediction
• Time series forecasting
• Lead time and Risk modeling
• Statistics and econometrics for inference and causal modeling
• GenAI application development
• Python, SQL, R

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• MA Math, American University
• BS Math, American University

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• End-to-End Analytics (Acquired by Accenture) - Senior Principal Data Scientist
  
  • Designed and built novel applications of GenAI in the health care domain. The application suite read insurance plans and then used that data to adjudicate insurance claims. The application could stand up a rules engine 1000x faster than the best human programmers and achieved comparable accuracy on adjudication.
  • Designed and built models to predict server lead time for a leading cloud service provider. The provider bought billions of dollars of hardware a year. Inaccurate lead times lead to the accumulation of $9 billion of unused inventory. This model accurately measured the lead times and recommended deep and safe cuts to spending.
• Loftium - Senior Machine Learning Engineer
  
  • Developed deep learning models for revenue forecasting. Loftium was a small, mission driven startup with very little data. We used 3rd party data sources and transfer learning to build a model that allowed Loftium to expand its business model nationally.
• Nordstrom - Senior Data Scientist
  
  • Developed a “next-best-action” attribution model for marketing. The model successfully identified the 18% of customers who were positively responsive to marketing and recommended the next best intervention, resulting in significantly increased sales.
• Freddie Mac - Senior Data Scientist
  
  • Developed the risk models necessary to liquidate Freddie Mac’s non-performing loans, returning the company to profitability and generating over a billion dollars in revenue.

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