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Data scientist
- City of residence:
- Odesa
- Ready to work:
- Remote
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Yevhenii Khromov Personal information
Data Scientist Nationality: Ukrainian
Employment: Full time Location: Italy, L’Aquila
Phone number: [open contact info ](look above in the "contact info" section) Language: English (C1), Ukrainian, Russian,
Email: [open contact info ](look above in the "contact info" section) Italian (A1)
LinkedIn, GitHub
Summary
Data Scientist with a strong foundation in Applied Mathematics and predictive modeling.
Experienced in applying statistical and machine learning methods. Ranked Top 3% in Google's
Kaggle competition and authored 2 papers on data modeling and neural networks.
Technologies
Data Science & ML: Python (PyTorch, Scikit-learn, LightGBM, XGBoost, Pandas), PowerBI
Software Engineering: C# (ASP.NET), C++, FastAPI, TypeScript (React)
Infrastructure & Tools: PostgreSQL, SQL, Docker, RabbitMQ, Git, Linear
Experience & Achievements
❖ Full Stack Engineer at Quantly | Jul 2025 - Sep 2025
Helped to develop a custom multi-agent orchestration engine for financial analysis using a
hybrid .NET and Python microservices architecture.
(Note: left due to startup budget constraints)
❖ Google’s Kaggle Competition
Ranked 6th out of 200 participants in Google's Competition on Kaggle.
❖ ICPC Southeastern European Regional Contest (SEERC) — Semifinalist | 2022, 2024
❖ Explore AI @ NYCU workshop
Implemented CORONA network that separates video background from foreground.
❖ Replit Kajam 2022
Developed a web game using the Replit JavaScript game engine for the annual community
game jam.
Academic Publications
❖ “Modeling the relationship between data changes in the geomagnetic field, cosmic rays and
solar wind using neural network and cross-spectral wavelet analysis methods.” (Ye.O.
Khromov, A.L. Sukharev, Ye.M. Strakhov), international conference “Workshop of the
Bulgaria- Latvia- Ukraine Initiative for Space Weather Investigations”, Primorsko (Bulgaria),
2025
❖ “Analysis of “space weather” events based on monitoring of geomagnetic and cosmic rays
variations with application of cluster and wavelet analysis, neural networks.” (Ye.O. Khromov,
A.L. Sukharev, Ye.M. Strakhov et al.), international conference “Workshop of the Bulgaria-
Latvia- Ukraine Initiative for Space Weather Investigations”, Primorsko (Bulgaria), 2024.
Education
Master's degree (Current GPA: 29/30), Applied Mathematics (Dual-Degree Program)
University of L'Aquila & Odessa Mechnikov National University | 2025 – 2027
Bachelor’s degree (GPA: 94/100), Applied Mathematics | Odessa Mechnikov National
University | 2021 – 2025
High School Diploma, Advanced Mathematics Focus | Richelieu Lyceum | 2016 - 2021
Data Scientist Nationality: Ukrainian
Employment: Full time Location: Italy, L’Aquila
Phone number: [
Email: [
LinkedIn, GitHub
Summary
Data Scientist with a strong foundation in Applied Mathematics and predictive modeling.
Experienced in applying statistical and machine learning methods. Ranked Top 3% in Google's
Kaggle competition and authored 2 papers on data modeling and neural networks.
Technologies
Data Science & ML: Python (PyTorch, Scikit-learn, LightGBM, XGBoost, Pandas), PowerBI
Software Engineering: C# (ASP.NET), C++, FastAPI, TypeScript (React)
Infrastructure & Tools: PostgreSQL, SQL, Docker, RabbitMQ, Git, Linear
Experience & Achievements
❖ Full Stack Engineer at Quantly | Jul 2025 - Sep 2025
Helped to develop a custom multi-agent orchestration engine for financial analysis using a
hybrid .NET and Python microservices architecture.
(Note: left due to startup budget constraints)
❖ Google’s Kaggle Competition
Ranked 6th out of 200 participants in Google's Competition on Kaggle.
❖ ICPC Southeastern European Regional Contest (SEERC) — Semifinalist | 2022, 2024
❖ Explore AI @ NYCU workshop
Implemented CORONA network that separates video background from foreground.
❖ Replit Kajam 2022
Developed a web game using the Replit JavaScript game engine for the annual community
game jam.
Academic Publications
❖ “Modeling the relationship between data changes in the geomagnetic field, cosmic rays and
solar wind using neural network and cross-spectral wavelet analysis methods.” (Ye.O.
Khromov, A.L. Sukharev, Ye.M. Strakhov), international conference “Workshop of the
Bulgaria- Latvia- Ukraine Initiative for Space Weather Investigations”, Primorsko (Bulgaria),
2025
❖ “Analysis of “space weather” events based on monitoring of geomagnetic and cosmic rays
variations with application of cluster and wavelet analysis, neural networks.” (Ye.O. Khromov,
A.L. Sukharev, Ye.M. Strakhov et al.), international conference “Workshop of the Bulgaria-
Latvia- Ukraine Initiative for Space Weather Investigations”, Primorsko (Bulgaria), 2024.
Education
Master's degree (Current GPA: 29/30), Applied Mathematics (Dual-Degree Program)
University of L'Aquila & Odessa Mechnikov National University | 2025 – 2027
Bachelor’s degree (GPA: 94/100), Applied Mathematics | Odessa Mechnikov National
University | 2021 – 2025
High School Diploma, Advanced Mathematics Focus | Richelieu Lyceum | 2016 - 2021
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