Paul Egorov

Paul Egorov

Data Science Manager @ DeliveryHero

About Paul Egorov

Paul Egorov is a Data Science Manager at Delivery Hero in Berlin, Germany, with extensive experience in data science and analytics across various industries.

Company

Paul Egorov currently works at Delivery Hero, a global food delivery service based in Berlin, Germany. In his role as Data Science Manager, Paul leverages his extensive experience to manage data-driven projects and lead the data science team.

Previous Roles and Experience

Paul Egorov has accumulated a wealth of experience in the data science and analytics fields. Before joining Delivery Hero, he spent one year at N26 in Berlin, Germany as Lead Data Scientist. He has also held multiple positions at GlowByte Consulting, including Deep Learning Solutions Consultant and Lead Data Scientist in NLP/CV, accumulating around two and a half years of service. His previous roles span various responsibilities, from senior business analysis at Société Générale to system analyst positions at CROC and GlowByte Consulting. Paul has also been engaged in entrepreneurial activities as a freelance data scientist.

Education and Expertise

Paul Egorov has a strong educational background in physics and data science. He studied Theoretical and Mathematical Physics at Lomonosov Moscow State University (MSU), where he was a PhD candidate from 2016 to 2020. He also earned a Specialist degree in Particle Physics and Cosmology from MSU. Professionally, he developed his data science expertise at Practicum USA, achieving a Data Science Specialist title. Additionally, he completed a Certificate in Leadership Principles from Harvard Business School Online in 2023. His educational foundation has facilitated his success in advanced analytics, deep learning, and team management.

Projects and Initiatives

Paul Egorov has completed over 15 data science projects across banks, fintech, and industry sectors. His project work spans various applications and showcases his ability to implement data-driven solutions in complex environments. This hands-on experience has honed Paul's expertise in advanced analytics and deep learning, allowing him to contribute significantly to the teams and organizations he has worked with.

Team Building and Management

With three years of experience in building and managing data science teams, Paul Egorov is skilled in creating high-performing, resilient, and learning-oriented environments. His leadership roles have involved both strategic oversight and hands-on management, ensuring that teams under his guidance are well-equipped to tackle challenging data science projects. This managerial experience complements his technical proficiency, making him a well-rounded leader in the data science field.

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