Martin Kostov

Data Scientist

https://talent.gravityer.com/martin-kostov

Software & Cloud Engineer. Need help with optimizing your infrastructure? https://cal.com/martinkostov/cloud-consulting

Austria

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'classifier-demo' and 'bearclassifier'.
Experience with Python and Jupyter Notebook, which are foundational for Data Scientist roles.
Exposure to web monitoring and observability stacks ('PerfScope') indicates some system understanding.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-starter attitude. The diversity of technologies (Python, TypeScript, C++, Shell, Jupyter Notebook) suggests a willingness to learn and explore different areas. However, the depth of experience in any single area, particularly data science, is not clearly demonstrated. The target role 'Data Scientist' aligns with some project themes, but the overall breadth of projects might indicate a generalist rather than a focused specialist at this stage.

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

PerfScope

March 11, 2026 – Present

A website monitoring platform with async workers and full observability stack.

View Project

docs

May 6, 2024 – March 19, 2025

docs — repository

View Project

ai-command-correct

January 20, 2024 – January 20, 2024

ai-command-correct — repository

View Project

classifier-demo

December 17, 2023 – December 17, 2023

classifier-demo — repository

View Project

bearclassifier

December 16, 2023 – December 16, 2023

bearclassifier — repository

View Project

WordRandomizer

June 15, 2023 – June 15, 2023

WordRandomizer — repository

View Project

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'classifier-demo' and 'bearclassifier'.
Experience with Python and Jupyter Notebook, which are foundational for Data Scientist roles.
Exposure to web monitoring and observability stacks ('PerfScope') indicates some system understanding.

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.

Martin Kostov

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit