Domagoj Krivošić

Data Scientist

https://talent.gravityer.com/domagoj-krivosic

Zagreb, Zagreb, CroatiaMember since June 25, 2026

Key Strengths

Demonstrated interest in Machine Learning and Deep Learning through personal projects.
Experience with Python and Jupyter Notebook, relevant for Data Scientist roles.
Exposure to various programming languages (Java, C++, Haskell, Shell) indicates versatility.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards technical exploration and self-directed learning, which can be a positive cultural fit for innovation-driven environments. However, the projects are primarily academic or personal, lacking explicit team collaboration or real-world business impact, which might indicate a need for development in a collaborative professional setting.

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

dkrivosic.github.io

February 27, 2023 – October 30, 2023

dkrivosic.github.io — GitHub repository

View Project

person-detection

April 5, 2018 – September 6, 2018

person-detection — GitHub repository

View Project

diplomski-rad

March 28, 2018 – June 20, 2018

diplomski-rad — GitHub repository

View Project

school-bus-routing

January 2, 2018 – January 18, 2018

school-bus-routing — GitHub repository

View Project

hmo-project

December 7, 2017 – December 17, 2017

hmo-project — GitHub repository

View Project

DZ1_Kalkulator

November 8, 2017 – November 17, 2017

Objektno oblikovanje 1. domaća zadaća

View Project

sparc

November 3, 2017 – January 17, 2018

Sparc: a sparsity-based consensus algorithm for long erroneous sequencing reads

View Project

puh

October 18, 2016 – February 10, 2018

Programming in Haskell

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machine-learning

October 14, 2016 – January 15, 2017

Machine Learning assignments

View Project

deep-learning

October 14, 2016 – January 19, 2017

Deep Learning assignemnts

View Project

Key Strengths

Demonstrated interest in Machine Learning and Deep Learning through personal projects.
Experience with Python and Jupyter Notebook, relevant for Data Scientist roles.
Exposure to various programming languages (Java, C++, Haskell, Shell) indicates versatility.

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.

Domagoj Krivošić

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit