Sergey Tkachenko Email & Phone Number

Paris, FR

Paris, Île-de-France, France

• Conduct real estate market studies
• Lead research projects
• Design, develop, and create proofs of concept

Bordeaux, Nouvelle-Aquitaine, France

• Developed the software aimed to describe the multidimensional water waves propagation
• Improved the performance of numerical models up to 96 times with MPI parallel computing in Fortran
• Publication available at doi.org/10.1016/j.jcp.2022.111901

Online

• 6-month bootcamp focused on the fundamental skills of a Data Scientist.
• Led a team of 3 people (researcher, back-end, front-end) using the Agile method
• Developed a music recommendation system using KNN algorithm to find similar songs based on audio characteristics (tempo, pitch, energy, etc.) of 226,000 songs: https://github.com/prujaka/spotify-sensuous
• The system is deployed on GCP and accessible via FastAPI, with a user interface created with Streamlit: https://spotify-sensuous.streamlit.app

Toulouse, Occitanie, France

• Contributed code and conducted stability analysis of numerical models used by Meteofrance to predict the nearshore waves behavior, including parallel calculations in Fortran and Python
• https://tolosa-project.com/

• Conducted 200+ teaching hours of courses and practical classes in Mathematical Analysis, Linear Algebra, Differential Geometry, Classical Mechanics and Numerical Methods
• These courses were intended for the 1st, 2nd year Licence students, Preparatory Class and Master students
• Conducted training classes on student professionalization for 1st and 2nd year Licence students

Marseille Area, France

• Derived nonlinear mathematical and numerical models for describing water waves and multiphase flows
• Developed a parallel code describing multidimensional surface waves using Fortran and MPI
• Proved that wave trains are modulationally stable within the framework of the Serre-Green-Naghdi model
• Publication available at doi.org/10.1007/s42286-020-00035-9

Novosibirsk, Russia

• Created and tested an analytical tool to estimate the flow parameters of proppant particles in non-Newtonian media.
• Numerical simulations showed 25-30% better agreement with the experimental results.Supervisor: Oleg Kovalevsky

Novosibirsk, Russian Federation

• Derived exact asymptotic solutions to a particular class of initial-value problems for the Green-Naghdi equations with moving bottom.
• Obtained analytical solutions can be used to validate the numerical simulations of such problems.
• Collaboration with researchers from Aix-Marseille University.Supervisor: Professor Nikolay Makarenko.

Data Science Bootcamp

6-month bootcamp focused on the fundamental skills of a Data Scientist.

Doctor'S Degree, Fluid Mechanics

PhD Thesis: "Analytical and numerical study of a dispersive shallow water model". Supervisors: Professor Sergey Gavrilyuk, Associate.

Master'S Degree, Mechanics And Mathematical Modeling

Master Thesis: "Non-stationary long waves into a fluid layer, propagating over the deforming bottom". Supervisor: Professor Nikolay.

Bachelor'S Degree, Department Of Mechanics And Mathematics