Summary
Andrew Nachtigal is a data scientist with 11 years of experience blending economics, energy markets, and machine learning to turn complex risk problems into actionable insights. With a background leading credit and stochastic portfolio modeling for a public utility and hands-on training in data science and engineering nanodegrees, he pairs domain expertise in power trading and hedging with practical ML tooling (Python, Spark, TensorFlow). He excels at risk reporting and procedure design, translating quantitative analysis into clear decision support for operations and trading. Based in Seattle, he brings a researcher’s rigor from an MA in Economics and a multilingual humanities perspective from a BA in German, which helps him communicate technical stories to diverse stakeholders. Notably, his career bridges institutional energy risk roles and intensive project-focused data science fellowships, making him effective at moving models from prototype to production-ready workflows.
11 years of coding experience
MA, Economics, MA, Economics at University of Washington
Data Scientist Nanodegree, Data Scientist Nanodegree at Udacity
English, German