Yuliya Shapovalova

Data Scientist

https://talent.gravityer.com/yuliya-shapovalova

Researcher in ML and data science

NijmegenMember since June 19, 2026

Key Strengths

Extensive personal project experience in deep learning and machine learning, particularly in precipitation nowcasting and financial time series analysis.
Demonstrated proficiency in Python and Jupyter Notebook for data science tasks.
Experience with advanced models like GANs and Graph Isomorphic Networks.
Master's Thesis focused on refining connectivity estimation in financial time series using deep learning, directly relevant to data science research.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards research-oriented and complex data science problems, which aligns well with roles requiring innovation and deep analytical thinking. The diversity of projects, from environmental modeling to financial analysis, indicates adaptability and a broad interest in applying data science across different domains. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

segcpgp

June 10, 2025 – July 11, 2025

Public, clean version of the code for SegCPGP

View Project

jax-changepoints

March 25, 2025 – April 3, 2025

jax-changepoints — GitHub repository

View Project

Neural-networks-on-impulse

October 2, 2024 – October 2, 2024

Neural-networks-on-impulse — GitHub repository

View Project

CausalBO

July 15, 2023 – March 8, 2024

"CausalBO" is a Python library that aims to spark Bayesian optimization through the lens of causality

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GINenergygrids

July 4, 2023 – March 20, 2024

Graph Isomorphic Networks for assessing the N-1 principle on energy grids

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safety-assessment-av

February 10, 2023 – August 11, 2023

safety-assessment-av — GitHub repository

View Project

MasterThesis-1

November 16, 2022 – April 2, 2023

In my Computer Science Master's Thesis, I experimented with advanced deep learning models and introduced a new model, cNSVM, to refine the estimation of connectivity in financial time series data, facilitating enhanced market understanding for improved data-driven decision making in finance.

View Project

precipitation-nowcasting-GANs-RU

March 10, 2022 – August 15, 2022

Nowcasting precipitation using GANs and KNMI data using the radboud server

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precipitationnowcasting-generativemodels-highevents

February 9, 2022 – December 29, 2023

Precipitation nowcasting using KNMI radar data.

View Project

MSVMspillovers

January 4, 2022 – November 29, 2023

MSVMspillovers — GitHub repository

View Project

Key Strengths

Extensive personal project experience in deep learning and machine learning, particularly in precipitation nowcasting and financial time series analysis.
Demonstrated proficiency in Python and Jupyter Notebook for data science tasks.
Experience with advanced models like GANs and Graph Isomorphic Networks.
Master's Thesis focused on refining connectivity estimation in financial time series using deep learning, directly relevant to data science research.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Yuliya Shapovalova

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit