Karolina Romanowska

Data Scientist

https://talent.gravityer.com/karolina-romanowska

Student of Computer Science

Member since June 29, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'Dreaming-CL' and 'MLOps-toy-example'.
Proficiency in Python, a core language for Data Science, evidenced by numerous projects.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to MLOps concepts, indicating an understanding of deploying and managing ML models.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal, self-driven learning and exploration across various technical domains. The projects are diverse, ranging from game development (LargerThanLife, TicTacToe, body-tetris) to more data science-aligned tasks (Dreaming-CL, MLOps-toy-example). This indicates a curious and proactive individual. However, the lack of team projects or professional experience makes it difficult to assess collaboration or alignment with a structured team environment. The projects are primarily individual efforts, which might suggest a preference for independent work. The target role of 'Data Scientist' aligns with some of the candidate's recent projects, but the overall breadth suggests a generalist interest rather than a deep specialization in data science.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric or English test results are available.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Dreaming-CL

November 4, 2023 – June 14, 2024

Dreaming-CL — GitHub repository

View Project

body-tetris

May 13, 2023 – May 18, 2023

body-tetris — GitHub repository

View Project

sokoban-diffusion

April 17, 2023 – July 2, 2023

sokoban-diffusion — GitHub repository

View Project

MLOps-toy-example

July 13, 2022 – July 15, 2022

MLOps-toy-example — GitHub repository

View Project

Wieczor-z-KNI-fast-api

April 5, 2022 – April 5, 2022

Wieczor-z-KNI-fast-api — GitHub repository

View Project

LargerThanLife

March 20, 2022 – May 12, 2022

Larger than Life, a generalisation of Game of Life, implemented in Rust and PyGame

View Project

TicTacToe

November 10, 2020 – November 20, 2020

with minimax algorithm and pygame library

View Project

Comcalen

November 8, 2020 – November 8, 2020

Comcalen — GitHub repository

View Project

BerryGoodRecipes

November 8, 2020 – September 16, 2021

a cook book app, made using JavaFX and PostgreSQL

View Project

Spreadsheet

July 20, 2020 – July 21, 2020

Arkusz kalkulacyjny spełniający podstawowe funkcjonalności takie jak zapis i odczyt pliku, obsługa formuł, operacje na komórkach.

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'Dreaming-CL' and 'MLOps-toy-example'.
Proficiency in Python, a core language for Data Science, evidenced by numerous projects.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to MLOps concepts, indicating an understanding of deploying and managing ML models.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric or English test results are available.

Karolina Romanowska

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit