Rastislav Hronský

Data Scientist

https://talent.gravityer.com/rastislav-hronsky

SlovakiaMember since June 24, 2026

Key Strengths

Demonstrated interest in Natural Language Processing (NLP) and machine learning through projects like 'shakespeare-audio', 'emnlp2023-sent-context', and 'lstm-reference-implementation'.
Proficiency in Python, a core language for Data Science, evidenced by numerous personal projects.
Exposure to various aspects of data processing and analysis, including tokenization ('tokenizerology-eval-pipeline') and clustering ('kmeans_lsh').

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards research-oriented and academic applications, particularly in NLP. This aligns well with roles requiring independent problem-solving and a deep dive into specific technical areas. The diversity of projects, from basic programming (Pascal) to advanced machine learning (LSTM), indicates a broad curiosity and willingness to explore different technologies. However, the lack of team-based or collaborative projects makes it difficult to assess cultural fit in a corporate team 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

tokenizerology-eval-pipeline

January 10, 2025 – February 3, 2025

tokenizerology-eval-pipeline — GitHub repository

View Project

availability

September 20, 2024 – September 20, 2024

Python command line program to help you decide meeting times.

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shakespeare-audio

July 6, 2024 – October 13, 2024

python scripts to build a small and parallel audio/text corpus based on Shakespeare plays for research purposes

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segmentgraph

March 4, 2024 – March 4, 2024

segmentgraph — GitHub repository

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emnlp2023-sent-context

June 17, 2023 – June 27, 2023

emnlp2023-sent-context — GitHub repository

View Project

segutil

April 3, 2023 – June 10, 2024

segutil — GitHub repository

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lstm-reference-implementation

November 23, 2022 – November 23, 2022

lstm-reference-implementation — GitHub repository

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kgp

November 19, 2021 – March 8, 2022

Python3 port of the Kant Generator Pro

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kmeans_lsh

May 27, 2017 – June 6, 2017

K-Means algorithm with Locality sensitive hashing support in Java

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pascal

January 20, 2015 – January 20, 2015

lahke priklady

View Project

Key Strengths

Demonstrated interest in Natural Language Processing (NLP) and machine learning through projects like 'shakespeare-audio', 'emnlp2023-sent-context', and 'lstm-reference-implementation'.
Proficiency in Python, a core language for Data Science, evidenced by numerous personal projects.
Exposure to various aspects of data processing and analysis, including tokenization ('tokenizerology-eval-pipeline') and clustering ('kmeans_lsh').

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.

Rastislav Hronský

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit