Andrew Vikartofsky is a Senior Data Scientist with a PhD in theoretical physics and seven years of industry experience building production ML systems that deliver measurable business value. He has led development of supply-chain and studio-assignment optimization tools that generated multi-million dollar weekly and annual impacts, and created classification and multi-armed bandit solutions to improve customer engagement and omnichannel messaging. Comfortable across the full stack, he combines research-grade mathematical modeling and simulation with pragmatic engineering using Python, BigQuery, Docker, VertexAI and streaming UIs like Streamlit. His background in high-performance Fortran simulations and analytical work on laser optics gives him a rare ability to translate complex physical models into scalable data products. Colleagues rely on him for blending rigorous causal and graph-based thinking with hands-on implementation to turn theory into production-ready solutions. Based in Loveland, Colorado, he thrives in collaborative teams that tackle hard quantitative problems end-to-end.
7 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of Nebraska-Lincoln
Bachelor of Science - BS Physics Mathematics, Bachelor of Science - BS Physics Mathematics at Illinois State University
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