Peter Chernyshev

Peter Chernyshev is a professional with a strong background in applied mathematics, specifically in formal representation of real economic, technological, and managerial processes.

He has extensive experience in analyzing business schemes, project and enterprise management systems, identifying management errors, and successful solutions.

His expertise includes the application boundaries of modern algorithms, such as Data Science and Machine Learning.

Peter has shared his knowledge through a series of popular articles on habr.com from 2017 to 2018, demonstrating examples of problems easily solved by neural networks and nearly unsolvable by humans, as well as vice versa.

In a project involving managing an oil company from 2013 to 2016, Peter's success was attributed to a profound understanding of managerial algorithms, proposing correction algorithms, and achieving success through problem formalization.

Despite being unfamiliar with the Oil and Gas sector initially, he acquired experience and knowledge in managing O&G companies, gaining a holistic understanding of the industry.

He has delved into the M&A market, analyzing numerous enterprises and successful deals, ensuring no capital was irreversibly invested, thanks to correct problem formalization and implementation algorithms.

Peter's educational background includes studying mathematics at ErGU, completing a course in general computer programming at School 21, and a specialized program at School 62.

He has been involved in various organizations such as davsar as a CIO volunteer, and held positions ranging from AI Researcher to M&A Head Manager in different companies like РОСБилдинг and Maritime bank.

Peter has experience as a consultant at Росавтодор and in managing various projects within the M&A sector.

His diverse professional experience spans from space satellite engineering at Astro NPO to managing Talinskoe at OWC and being part of the Русские Инвесторы team.