Summary
Alla Vladova is a Senior Data Analyst and applied data scientist with 15+ years in data analysis and over 3 years focused on machine learning for heavy industries including railways, oil & gas, and geotechnical monitoring. She blends academic rigor—PhD-level research, patents and peer-reviewed publications—with hands-on engineering, leading teams to deploy predictive maintenance and defect-growth models in production environments. Comfortable in Python, R, Colab and GitHub, she translates field data and technical manuals into features, requirements and metrics that align models to real-world use and client workflows. A seasoned educator and communicator, she concurrently teaches mathematics and data science to international students and has run industry-academic projects across Russia and Europe. Notably, she has led a seven-person DS team to deliver an operational deep-learning solution for the St. Petersburg–Moscow railway, demonstrating rare end-to-end delivery from data collection to project handover.
8 years of coding experience
15 years of employment as a software developer
Teaching English as a Second or Foreign Language/ESL Language Instructor, Teaching English as a Second or Foreign Language/ESL Language Instructor at Finance University under the Government of the Russian Federation
Doctor of Technical Science, Automation and control of technological process and manufacture, Doctor of Technical Science, Automation and control of technological process and manufacture at Orenburg State University (OSU)
advanced training, Information Technology, advanced training, Information Technology at the Lobatchevsky State University of Nizhni Novgorod
English, Russian