Mihai Bojescu

Data Scientist

https://talent.gravityer.com/mihai-bojescu

Developing and engineering software are some of my favorite pastimes.

Thinslices

Key Strengths

Experience with Python, a core language for Data Science.
Personal project 'Dissertation' indicates academic background in Artificial Intelligence and Optimisation, directly relevant to Data Scientist role.
Exposure to Jupyter Notebooks, a common tool in data science workflows.
Familiarity with Docker, useful for reproducible research and deployment.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a diverse range of technologies (Java, JavaScript, Python, Shell, TeX, Makefile) and interests (Android notifier, web development, infrastructure automation, academic research). This breadth suggests adaptability and a willingness to explore different domains. However, the majority of projects are personal and lack detailed descriptions of collaborative efforts or impact, making it difficult to fully assess cultural fit in a team environment. The current role as 'Data Scientist' at Thinslices aligns with the target role, but without further details on responsibilities or team interaction, a comprehensive cultural fit assessment is limited.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

ansible-kubernetes

January 9, 2026 – Present

A repository hosting a set of Ansible playbooks to setup Kubernetes.

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Dissertation

May 11, 2025 – Present

This repository hosts my dissertation for my Artificial Intelligence and Optimisation Master's degree

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Operations-Research-homeworks

December 7, 2024 – December 16, 2024

Homeworks for Operations Research, Year 2, Semester 1.

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MihaiBojescu

December 30, 2020 – November 22, 2023

MihaiBojescu — GitHub repository

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Offload.JS

October 29, 2019 – November 4, 2019

Offload your functions to separate worker processes or threads

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Online-shop

January 28, 2019 – March 6, 2019

An online shop app, using express, mongo and docker.

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lego-assembly-back

November 12, 2018 – January 20, 2019

lego-assembly-back — GitHub repository

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tsa-node-project

May 21, 2018 – June 18, 2018

tsa-node-project — GitHub repository

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Linux-notifier

July 7, 2017 – November 2, 2017

Linux-notifier — GitHub repository

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Linux-notifier-Android

May 7, 2017 – October 17, 2017

This is the Android APK for the Linux notifier program on Linux. A simple notification transmission program that sends Android notifications to a Linux desktop that has libnotify support.

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Key Strengths

Experience with Python, a core language for Data Science.
Personal project 'Dissertation' indicates academic background in Artificial Intelligence and Optimisation, directly relevant to Data Scientist role.
Exposure to Jupyter Notebooks, a common tool in data science workflows.
Familiarity with Docker, useful for reproducible research and deployment.

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.

Mihai Bojescu

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit