Tomáš Pop

Data Scientist

https://talent.gravityer.com/tomas-pop

Member since June 27, 2026

Key Strengths

Demonstrated interest in data science and machine learning through projects like 'Phishing Detection Using Knowledge Distilled from Large Language Models' and 'Named Entity Recognition and Its Application to Phishing Detection'.
Proficiency in Python, a core language for Data Scientists, as evidenced by multiple projects.
Experience with real-time data processing using Apache Spark ('Real-Time Visualization and Analysis of Swiss Train Traffic Using Apache Spark').
Exposure to various data-related tasks including text retrieval and named entity recognition.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are predominantly personal and demonstrate a strong self-starter attitude and curiosity in diverse technical areas, including cryptocurrency trading bots and data analysis. However, the target role is 'Data Scientist', and while some projects align, the overall breadth of projects (e.g., multiple trading bots, web development) suggests a broad interest rather than a focused alignment with a data science career path. The lack of team-based or professional projects makes it difficult to assess collaboration or fit within a structured team environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

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Assessing your cultural and operational fit

Projects

poptomas.github.io

March 5, 2026 – Present

poptomas.github.io — GitHub repository

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kd-llm-stream

November 3, 2025 – Present

Phishing Detection Using Knowledge Distilled from Large Language Models

View Project

real-time-swiss-rail-spark

May 21, 2025 – May 21, 2025

Real-Time Visualization and Analysis of Swiss Train Traffic Using Apache Spark

View Project

poptomas

February 28, 2024 – Present

poptomas — GitHub repository

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tbreed

October 23, 2023 – March 12, 2024

Text-based retrieval on Enron Email Dataset

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ner-pd

July 21, 2022 – July 21, 2022

Named Entity Recognition and Its Application to Phishing Detection

View Project

SharpAlgorithmicTrading

June 4, 2022 – July 19, 2022

CATB - An Extensible Cryptocurrency Algorithmic Trading Bot

View Project

ToTheMoon

April 8, 2022 – April 14, 2022

ToTheMoon - Cryptocurrency Trading Bot

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Discord-Crypto-Alert-Bot

December 25, 2021 – May 23, 2022

Cryptocurrency Discord Alert Bot

View Project

mock-football-bets

May 29, 2021 – December 11, 2021

Mock Football Bets - Web application as a platform for performing mock football bets

View Project

Key Strengths

Demonstrated interest in data science and machine learning through projects like 'Phishing Detection Using Knowledge Distilled from Large Language Models' and 'Named Entity Recognition and Its Application to Phishing Detection'.
Proficiency in Python, a core language for Data Scientists, as evidenced by multiple projects.
Experience with real-time data processing using Apache Spark ('Real-Time Visualization and Analysis of Swiss Train Traffic Using Apache Spark').
Exposure to various data-related tasks including text retrieval and named entity recognition.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Tomáš Pop

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit