Michal Medek

Data Scientist

https://talent.gravityer.com/michal-medek

Software developer interested in machine learning.

FlashNews

Key Strengths

Demonstrated interest and practical experience in Natural Language Processing (NLP) through multiple personal projects (nlp-hal, nlp-naive-bayes, nlp-sentiment-analysis-shallow).
Experience with machine learning model interpretability (pilsen-ai-meetup).
Familiarity with core data science tools like Python, Jupyter Notebook, and basic ML frameworks (scikit-learn implied by project descriptions).
Current role as a Data Scientist at FlashNews indicates professional experience in the field.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards machine learning and NLP, which aligns well with a Data Scientist role. However, the diversity of projects outside of core ML/NLP is limited, and the single professional experience entry lacks detailed skill information, making a comprehensive cultural fit assessment challenging. The candidate's experience level is listed as 0, which contradicts the current Data Scientist role, suggesting a potential data discrepancy or very recent entry into the role.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

gamma

January 4, 2026 – Present

gamma — GitHub repository

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courses

September 24, 2022 – January 4, 2023

courses — GitHub repository

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mysqlpool-wrapper

August 28, 2021 – August 28, 2021

mysqlpool-wrapper — GitHub repository

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es-logger

July 6, 2021 – July 6, 2021

es-logger — GitHub repository

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ml-flow-demo

November 15, 2019 – May 1, 2023

ml-flow-demo — GitHub repository

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pilsen-ai-meetup

June 30, 2019 – June 17, 2024

Talk aimed at interpretability of machine learning models presented on Pilsen AI and ML meetup.

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nlp-naive-bayes

June 4, 2018 – June 4, 2018

Simple implementation of naive bayes in Python 3.6 from scratch

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convsharp

April 22, 2018 – April 23, 2018

Simple library for creating sequential models of convolutional neural networks. Library is for the solving small problems because is aimed on the readable code and modularity more than performance.

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nlp-hal

January 15, 2018 – January 17, 2018

Implementation of HAL (Hyperspace Analogue to Language) algorithm with linear weighting and usage idf multiplicator in python 3.6. Czech news feeds are used as input data.

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nlp-sentiment-analysis-shallow

January 9, 2018 – January 9, 2018

Classification of 3 types of sentiment (negative, neutral and positive) on czech posts from czech film database. Scripts are written in python 3.6 and use shallow methods for classification (Multinomial NB, SGDClassifier and Logistic regression) in scikit pipeline.

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Key Strengths

Demonstrated interest and practical experience in Natural Language Processing (NLP) through multiple personal projects (nlp-hal, nlp-naive-bayes, nlp-sentiment-analysis-shallow).
Experience with machine learning model interpretability (pilsen-ai-meetup).
Familiarity with core data science tools like Python, Jupyter Notebook, and basic ML frameworks (scikit-learn implied by project descriptions).
Current role as a Data Scientist at FlashNews indicates professional experience in the field.

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 are available.

Michal Medek

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit