Summary
Danila Poliannikov is a Machine Learning Engineer co-op and third-year Economics and Mathematics student at Northeastern University, bringing nine years of technical experience and a strong focus on quantitative applications in finance, energy markets, and trading. He has built production-ready ML systems—such as a LightGBM regressor for power-flow forecasting and a CNN-based IR anomaly detector deployed on Raspberry Pi—with demonstrated improvements in predictive accuracy and real-time performance. Comfortable in both C++ and Python, Danila pairs rigorous feature engineering and SHAP-driven interpretation with hands-on deployment skills. Beyond engineering, he is a competitive FIDE Master and 2025 Massachusetts Chess Champion, a background that sharpens his analytical rigor and strategic thinking. Actively seeking roles in quantitative finance and trading, he brings a rare mix of domain knowledge, production ML experience, and competitive problem-solving.
9 years of coding experience
Sharon High School
Bachelor of Science - BS Economics and Mathematics, Bachelor of Science - BS Economics and Mathematics at Northeastern University