Sergey S. Abdurakipov is a highly accomplished physicist, mathematician, and data scientist with extensive experience in research and business. He graduated from Novosibirsk State University with honors, having mastered advanced courses in all fields of modern physics and math. His academic background and research experience has formed a solid foundation, making him a top talent that can solve high-level analytical problems. Furthermore, he has an MBA and applied his skills in solving economic and business problems.

Sergey has actively participated in research projects, practicing the development of complex numerical methods for modeling, data analysis, machine learning, neural networks, and big data. He has contributed to several Russian and international research projects and earned various scholarships, supported projects, and publications. Moreover, he has implemented data science projects for big companies like VTB24, Sberbank, Aeroflot, United Metallurgical Company, and SO United Energy Systems.

Aside from his research and data analysis work, Sergey has also held several positions at different organizations. He was a former Research, Engineering, Manufacturing, and Sustaining engineer of Schlumberger and a former Senior Data Scientist at Technoserv. Additionally, he has also held academic positions as an Assistant Lecturer and a Ph.D. Researcher/Data Science Engineer at Novosibirsk State University and at the Institute of Thermophysics SB RAS, respectively. He currently serves as the Data Science Team Lead/Business Processes Senior Consultant at SAP.

In summary, Sergey Abdurakipov has an exceptional background in academic and practical applications in the field of physics, mathematics, and data analytics. His research experience, problem-solving skills, and business acumen make him a highly sought-after talent in his field.