Summary
Dmitry Migunov is a Berlin-based Data Scientist with over a decade of experience spanning data science, computer vision, NLP, and end-to-end ML deployment. He excels at turning requirements into production-ready solutions, collaborating with engineers, analysts, and product teams in agile environments to ship robust models and monitoring pipelines. At YIT, he built CV modules for head-rotation analysis and deep-learning facial search (DeepFace/FAISS), and developed an OCR-driven document processing pipeline that reduced professional workloads by 73.5%. He also delivered a RAG-based LLM solution over internal documents, cutting support requests by 30% initially and a further 61%. Earlier at EPAM Systems, he created a construction-site equipment tracking system that lowered downtime by 40%. He holds a Master’s in Data Science from ITMO University and is proficient in Python, AWS, PyTorch, OpenCV, YOLO, SQL, and Docker, with a knack for translating research ideas into scalable software.
11 years of coding experience
1 year of employment as a software developer
Java 1 - Introduction to Java, Java 1 - Introduction to Java at Javaguru
Rigas Web-tehnoloģiju skola
Ventspils 3. vidusskola
Russian, English, Latvian