Summary
Andrei Zholud is a Senior Data Scientist in Atlanta with six years of industry experience applying Python, scikit-learn, Pandas and Spark to production-ready predictive models and big-data workflows. Trained as an experimental physicist (PhD) and with roots in nanoscience, he brings rigorous experimental design and quantitative intuition to messy real-world datasets. He has blended academic research—published work on spintronic nanodevices and FEM simulation experience—with applied ML roles at Grid Dynamics, Verizon and Codoxo, where he now leads data science initiatives. Andrei is comfortable across the stack from data engineering and time-series modeling to deep learning (TensorFlow/Keras) and computer vision (OpenCV), and routinely uses Bayesian methods and clustering for insight discovery. Colleagues describe him as a curious problem-solver who shifted a lifelong passion for hands-on experimentation into reproducible, production-focused analytics. He also maintains an applied capstone notebook and GitHub projects that showcase end-to-end pipelines and model explainability efforts.
6 years of coding experience
9 years of employment as a software developer
Master of Science (MS), Physics, Master of Science (MS), Physics at Belarusian State University
Doctor of Philosophy (PhD), Experimental Physics, Doctor of Philosophy (PhD), Experimental Physics at Emory University
Data Science, Data Science at Thinkful
English