Igor Reshetnyak
Verified Expert in Engineering
Data Analysis Developer
Renens, Switzerland
Toptal member since March 16, 2020
Igor is self-motivated and result-oriented senior data scientist with proven software development, data analysis, and modeling experience in academic and industrial environments. He is skilled with Python, SQL, and high-performance computing. He is a well-educated professional with a Ph.D. in physics, seven research papers published in leading scientific journals, and certifications in machine learning, deep learning, and econometrics.
Portfolio
Experience
- High-performance Computing (HPC) - 8 years
- Python - 8 years
- MPI - 8 years
- NumPy - 8 years
- Data Analysis - 5 years
- SQL - 3 years
- Machine Learning - 2 years
- Pandas - 2 years
Preferred Environment
Linux, Anaconda, Sublime Text, Jupyter
The most amazing...
...in-silico modeling of materials I performed accurately predicted and explained their properties, and pinpointed the most suitable for green energy applications.
Work Experience
Researcher in Computational Physics
Swiss Federal Institute of Technology in Lausanne (EPFL)
- Analyzed TBs of data using Python, Fortran, and C, gaining predictive accuracy.
- Managed multiple research projects leading to the successful modeling of materials for green energy applications.
- Published five research papers in leading scientific journals.
- Led exercise sessions on ”Computer Simulation of Physical Systems” for 30 students.
- Devised and validated a new approach for modeling the electronic properties of materials, formulated clearly stated assumptions about the new method and checked them on a set of test-cases.
- Validated results using MS Excel for initial analysis and Python for advanced tests, ensuring reproducibility.
- Produced meaningful visuals in Python enabling the presentation of results to different audiences.
Researcher (Ph.D.)
Ecole Polytechnique
- Parallelized C, C++, and Fortran codes, allowing the modeling of systems 5x larger than before.
- Set up Python scripts for data analysis and computational pipelines.
- Developed new approaches to modeling the spectra of materials, leading to the understanding of their properties.
- Managed a research project, transformed ideas into hypotheses, designed and performed numerical experiments to test them, and produced quantitative analytics.
Web Developper
Unique Games
- Redesigned the user data storage system that relied on files to use SQL databases, boosting web-page load speed more than 10x.
- Improved PHP and JavaScript code reliability and speed leading to a better stability of the game and a 50% increase of revenues.
- Analyzed user data to track cheating, reducing it at least 10x.
- Incorporated end-user suggestion to improve usability and satisfaction.
Experience
Parallelization of DP-EXC
Application for a ski-wear shop
Education
Ph.D. in Physics
Ecole Polytechnique - France
Master's Degree in Physics
Taras Shevchenko National University of Kyiv - Kyiv, Ukraine
Master's Degree in Physics
Ecole Polytechnique - France
Bachelor's Degree in Physics
Taras Shevchenko National University of Kyiv - Kyiv, Ukraine
Certifications
Econometrics
HSE Moscow via Coursera
Game Theory - II: Advanced applications
Stanford University via Coursera
Deep Learning
DEEPLEARNING.AI
Machine Learning
Stanford University via Coursera
Skills
Libraries/APIs
NumPy, MPI, Pandas, TensorFlow, REST APIs, Microsoft HPC
Tools
Sublime Text, Jupyter, Git
Languages
Python, SQL, Fortran, JavaScript, HTML, PHP, C, C++, CSS, HTML5
Paradigms
High-performance Computing (HPC), REST, ETL, Object-oriented Programming (OOP), Test-driven Development (TDD)
Storage
MySQL
Platforms
Linux, Anaconda, Jupyter Notebook, Amazon Web Services (AWS)
Frameworks
Django, Flask
Other
Data Analysis, Machine Learning, Data Visualization, Data Engineering, Statistics
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