Kamil Tyborowski

Data Scientist

https://talent.gravityer.com/kamil-tyborowski

Software Engineer

Warsaw, Masovian Voivodeship, Poland

Key Strengths

Demonstrated interest in data science and machine learning through projects like 'RecommenderSystem' and 'uwm-pz-mini-projekt' (Python for advanced programming).
Experience with Python, a core language for Data Scientists.
Familiarity with Jupyter Notebooks, a common tool in data science workflows.
Exposure to web development technologies (Astro, Svelte, JavaScript) indicates a broader technical aptitude.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-starter attitude. The diversity of projects, from web development to data science-related tasks, suggests adaptability and a willingness to explore different technical domains. The 'RecommenderSystem' project directly aligns with typical data scientist responsibilities, indicating a potential good fit for roles requiring practical application of machine learning.

Soft Skills & Operational Fit

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

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

growthskills.dev

June 12, 2026 – Present

AI skills for Growth Engineers

View Project

issuehq

June 9, 2024 – June 10, 2024

issuehq — repository

View Project

zaliczenie-uwm-uwmp

May 26, 2024 – May 26, 2024

zaliczenie-uwm-uwmp — repository

View Project

uwm-pz-mini-projekt

April 14, 2024 – April 14, 2024

Zadanie zaliczeniowe - programowanie zaawansowane

View Project

ktyborowski.github.io

January 19, 2024 – January 19, 2024

ktyborowski.github.io — repository

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awesome-trix

January 19, 2024 – January 19, 2024

awesome-trix — repository

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dokumentacja-rafinacji

January 27, 2023 – January 27, 2023

Dokumentacja Rafinacji course assignment

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noew

March 13, 2022 – May 9, 2023

noew — repository

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streamlit-base

October 15, 2021 – October 17, 2021

A project template for streamlit

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RecommenderSystem

April 8, 2021 – May 18, 2021

RecommenderSystem — repository

View Project

Key Strengths

Demonstrated interest in data science and machine learning through projects like 'RecommenderSystem' and 'uwm-pz-mini-projekt' (Python for advanced programming).
Experience with Python, a core language for Data Scientists.
Familiarity with Jupyter Notebooks, a common tool in data science workflows.
Exposure to web development technologies (Astro, Svelte, JavaScript) indicates a broader technical aptitude.

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.

Kamil Tyborowski

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit