About Yevgeniy Zagayevskiy:
• A results-driven professional with over 10 years of experience in product management, data analysis, and numerical modeling seeking a product manager job opportunity
• Possesses extensive experience in launching web products, leading cloud software product development teams in agile environment, and managing cross-functional
Experience
Halliburton – Landmark software R&D department
Product Manager – integrated petroleum reservoir modeling (FSAS)
09/2022 – 08/2023 Houston, TX
• Defined product roadmap and vision, maintained user stories and feature backlog, conducted market analysis, engaged with internal and external stakeholders, created PPTs for upper management
• Led the release of a second-generation Full-Scale Asset Simulation (FSAS) SaaS B2B product on Azure cloud that was instantly subscribed for by 5 oil and gas users
• Supervised integration of 4 software products for petroleum reservoir characterization
• Managed agile software development team of 5 people (engineers and testers)
• Trained salespeople, prepared learning material, manuals, technical documentation
• Supervised and mentored graduate students and interns
Product Manager – field development planning with DOE, ML, and optimization (IRMS)
06/2020 – 08/2022 Calgary, AB, Canada
• Conducted market research and analysis, collected product requirements, defined product roadmap and vision, created proof of concept, created user stories and maintained feature backlog, worked with marketing, sales, and services teams
• Led the release of Integrated Reservoir Management Solutions (IRMS) module of FSAS SaaS B2B product on Azure cloud from inception that was consumed by 20 users from 4 global oil & gas companies and resulted in close to $2M annual revenue
• Managed agile team of 14 people (engineers, designers, data scientists, researchers)
• Supervised research of ML-based flow modeling, optimization, and DOE workflows
• Collaborated with Smart Fields research consortium from Stanford University
• Conducted webinars, supervised 6 final year undergraduate students in 3 projects
Product Manager and Researcher – petroleum reservoir uncertainty modeling and field development scenarios comparison studies with machine learning & optimization (IRMS)
10/2016 – 05/2020 Houston, TX
• Promoted future releases of IRMS & FSAS products through online presentations, attendance of technical exhibitions, global travels to onsite locations of potential users
• Researched & prototyped algorithms for reservoir engineering workflows (supervised & unsupervised ML, optimization, DOE, sensitivity analysis, ensemble), defined UI design
• Managed agile team of 11 people (developers, UX designers, testers, and researchers)
• Supervised 10 graduate students in 4 summer intern projects
• Founded and curated company-wide seminar series on optimization
Researcher – applied spatial statistics for petroleum reservoir modeling (SEM)
09/2015 – 10/2016 Abingdon, England, UK
• Developed grid-free geomodeling techniques (point vector and point cloud) that became part of Scalable Earth Modeling (SEM) B2B SaaS product with over 10 global users
University of Alberta – Centre for Computational Geostatistics (CCG)
Research and Teaching Assistant – geomodelling of ore deposits and oil reservoirs
09/2009 – 08/2015 Edmonton, AB, Canada
• Researched and devised new geostatistical grid-free geomodeling techniques and ensemble-based data assimilation algorithms for petroleum reservoir characterization
• Led lab seminars for a total of 100+ undergraduate students
CVD Consultants Ltd
Consultant – data assimilation and integration, ensemble modeling, geomodelling
08/2011 – 04/2012 Edmonton, AB, Canada
• Modeled geological properties in 3D, conducted model calibration for Surmont project
Education
PhD Applied Statistics - Mining Engineering
University of Alberta
01/2012 – 06/2015
Edmonton, AB, Canada
MSc Applied Statistics - Mining Engineering
University of Alberta
09/2009 – 01/2012
Edmonton, AB, Canada
BSc Petroleum Engineering
Kazakh-British Technical University
09/2005 – 05/2009
Almaty, Kazakhstan
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