Abakumov Ivan

Fähigkeiten und Kenntnisse

Customer Service
Algorithms
Data Acquisition
Artificial Neural Network
Data Analysis
AutoCAD
FWI
Data Processing
C
Geophysics
Data Science
C++
High Performance Computing (HPC)
Deep Learning
Cassandra
Modeling
Keras
Earth Science
Computer Science
Numerical Analysis
LaTeX
Convolutional Neural Networks (CNN)
Engineering
Physics
Leadership
English
Teaching
Programming
Linux
Fortran
Teamwork
Python
Machine Learning
Tensorflow
Matlab
Python (Programming Language)
Theoretical Physics
Research
Microsoft SQL Server
Windows
Science
Scikit-Learn
Seismic Imaging

Werdegang

Berufserfahrung von Abakumov Ivan

  • Bis heute 1 Jahr und 3 Monate, seit Juli 2025

    Chief Technology Officer

    Evenue GmbH

  • Bis heute 1 Jahr und 6 Monate, seit Apr. 2025

    Founder

    Exster Intelligence

  • 5 Jahre und 3 Monate, Apr. 2020 - Juni 2025

    Lead Data Scientist

    HQ revenue

    • Plan, organize, and monitor AI-based projects in the company • Manage work of the Data Science team • Interview and onboard new employees • Provide advanced analytics for the Marketing & Business development teams • QC of the data from external data providers • Report results to stakeholders & auditors • Consult principle customers on AI-based questions • Publicly announced highlights of the Data Science team under my supervision: - daily forecast city demand for 1400 destinations - daily estimate

  • 3 Jahre und 8 Monate, März 2020 - Okt. 2023

    Instructor

    DGMK Deutsche Wissenschaftliche Gesellschaft für Erdöl, Erdgas und Kohle e.V.

    • I prepare and keep the DGMK advanced training course "Machine Learning for Subsurface” (3-day intensive course for industry professionals). • Next course is planned for March 2023

  • 2 Jahre und 8 Monate, Sep. 2017 - Apr. 2020

    Postdoctoral Researcher

    Freie Universität Berlin

    • Developed innovative approaches for detection and localization of microseismic events recorded simultaneously by the surface and borehole arrays • Delivered physically based analytical expressions for arrival-time uncertainties • Initiated and developed departmental educational activities including master student courses “Inverse problems and machine learning for exploration geophysics” and “Deep learning for exploration geophysics”

  • 3 Jahre und 11 Monate, Okt. 2013 - Aug. 2017

    Research Assistant

    University of Hamburg

    Multidimensional stacking • Performed systematic analysis of stacking operators; extended the theory of DSR-based stacking operators to the case of converted waves, the case of anisotropic media and the 3D case • Delivered numerous software products: 3D i-CRS code, CRS-based prestack data enhancement and interpolation code for arbitrary acquisition, PreSDM code Time-lapse seismic • Developed an algorithm of advanced cross-well velocity analysis • Applied the algorithm to time-lapse cross-well data acquired

  • 4 Monate, Aug. 2014 - Nov. 2014

    Trainee

    Shell

    • Implemented the original method of time-lapse shallow velocity anomalies reconstruction by inverting virtual diving waves extracted from 4D OBN data • Delivered a new QC method for node-related static corrections

  • 2 Jahre und 10 Monate, Jan. 2011 - Okt. 2013

    Engineer

    Saint Petersburg State University

  • 4 Monate, Feb. 2013 - Mai 2013

    Trainee

    Seismik s.r.o.

    • Developed 3D VTI eikonal solver based on the fast sweeping method • Integrated the eikonal solver into the Seismik's software (significantly speeded up the localization procedure and allowed to account for 3D velocity models)

Ausbildung von Abakumov Ivan

  • 2013 - 2017

    Doctor of Philosophy (PhD)

    Universität Hamburg

  • 2009 - 2012

    Master of Science (M.S.)

    Saint Petersburg State University

    Major in applied geophysics. Won Leonhard Euler Award, Free University of Berlin, Berlin, Germany, 2010 and participated in DAAD students exchange programs, 2010, 2011, 2012.

  • 2005 - 2009

    Bachelor of Science (B.S.)

    Saint Petersburg State University

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