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Vadim Sedelnikov, PhD has extensive work experience in various roles related to data science and project management.

Vadim currently works at Noventiq as the Principal Data Scientist & CPO, where they are responsible for developing a new data platform for AI solutions. Vadim has successfully built and managed teams of data scientists and software developers, and has implemented various time series forecasting techniques that significantly improved accuracy. Vadim has also developed a service for price prediction with high accuracy.

Prior to their current role, Vadim worked as the Principal Data Scientist & CPO at Noventiq, where they created an MVP of an AI platform from scratch. Vadim played a key role in designing the platform architecture and managed teams of data scientists and software developers. Vadim successfully convinced the CEO to invest $1.5M in the platform development, formed partnerships with research centers, and secured agreements with potential clients.

Vadim also worked as a Lead Data Scientist in a research project focused on AI in gene technology. At Norilsk Nickel, they served as the Data Science Tech Lead, where they built a data science team from scratch and provided leadership and mentorship to team members. Vadim coordinated multiple initiatives with significant financial impact and developed end-to-end ML solutions.

In their earlier career, Vadim worked as a Senior Data Scientist at Jet Infosystems, a freelance data scientist, and a co-founder and analyst in an e-commerce project. Vadim also held the position of Head of Project Management Department at Iskren.

Overall, Vadim Sedelnikov, PhD has demonstrated strong expertise in data science and project management, as well as a track record of successfully leading and implementing AI solutions in various industries.

Vadim Sedelnikov, PhD, has a strong educational background in computer science and artificial intelligence. Vadim obtained a Ph.D in Computer Science with a specialization in Artificial Intelligence from an unspecified institution from 2004 to 2007. Prior to their Ph.D, they completed a Master's degree in Physics with a focus on signal processing and artificial intelligence from Lomonosov Moscow State University (MSU) between 1998 and 2004. Additionally, they have acquired certifications in various areas such as training on marked-up data, math and Python for data analysis, and machine learning from Coursera. The specific years of obtaining these certifications are not mentioned.