Josef Koumar

Data Scientist

https://talent.gravityer.com/josef-koumar

I am a PhD candidate in the Netmon research group. We work in the field of network traffic monitoring and analysis. Right now, I am primarily interested in

CESNET

Key Strengths

Strong foundational experience in Data Science, particularly with time series analysis and network traffic classification.
Demonstrated proficiency in Python and Jupyter Notebook for data analysis and model development.
Experience with research-oriented projects, indicating an ability to tackle complex problems and contribute to scientific papers.
Familiarity with shell scripting and Dockerfile, suggesting some understanding of deployment and environment management.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on academic/research-oriented data science, specifically network traffic analysis and time series. While this demonstrates deep expertise in a niche, the lack of diversity in project types (e.g., business intelligence, product analytics, A/B testing, MLOps) might indicate a narrower scope of experience for a general Data Scientist role. The single current employment at CESNET also limits the breadth of exposure to different organizational cultures and problem domains.

Soft Skills & Operational Fit

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

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Projects

cesnet-tszoo-tutorials

October 3, 2025 – Present

cesnet-tszoo-tutorials — GitHub repository

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cesnet-tszoo

February 25, 2025 – Present

CESNET Ts-Zoo is a toolkit for working with large time series network traffic datasets.

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isp-forecasting-benchmark

February 14, 2025 – November 11, 2025

isp-forecasting-benchmark — GitHub repository

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explainable_anomaly_detection_using_LLM

January 31, 2025 – January 31, 2025

explainable_anomaly_detection_using_LLM — GitHub repository

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CESNET-TimeSeries24-Example

August 25, 2024 – February 26, 2025

CESNET-TimeSeries24-Example — GitHub repository

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CESNET-TimeSeries24-CD

August 25, 2024 – February 26, 2025

CESNET-TimeSeries24-CD — GitHub repository

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ipfixprobe_tsa_sfts

September 14, 2023 – September 14, 2023

ipfixprobe_tsa_sfts — GitHub repository

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Classification_by_NetTiSA_flow

August 11, 2023 – April 18, 2024

Classification of Network Traffic based NetTiSA flow

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ClassificationBasedOnSFTS

June 4, 2023 – April 18, 2024

Repository for the paper Network Traffic Classification based on Single Flow Time Series Analysis

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dp3

September 13, 2020 – Present

Dynamic Profile Processing Platform (DP3), the base platform for ADiCT project

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Key Strengths

Strong foundational experience in Data Science, particularly with time series analysis and network traffic classification.
Demonstrated proficiency in Python and Jupyter Notebook for data analysis and model development.
Experience with research-oriented projects, indicating an ability to tackle complex problems and contribute to scientific papers.
Familiarity with shell scripting and Dockerfile, suggesting some understanding of deployment and environment management.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Josef Koumar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit