Martin Moritz

Data Scientist

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

Engineering student in Data Science and Artificial Intelligence

ESIEE Paris

Key Strengths

Demonstrated interest in Data Science through personal projects (Projet-R, Dashboard-Python, Projet-Python).
Experience with Python and R, key languages for Data Science.
Familiarity with Jupyter Notebook for data analysis and presentation.
Exposure to web scraping (Scraper-Tennis) which can be relevant for data acquisition.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-starter attitude. The diversity of projects (Android app, web scraper, data dashboards) indicates a broad interest in technology, which could be a good cultural fit for an innovative environment. However, the lack of team-based projects or detailed descriptions of collaboration makes it difficult to fully assess cultural fit.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

site_gestion_de_tournois

November 19, 2021 – November 20, 2021

Une application fullstack avec pour objectif de d'organiser des tournois et de s'y inscrire

View Project

AndroidAPP_RDV

April 5, 2021 – April 7, 2021

AndroidAPP_RDV — GitHub repository

View Project

Scraper-Tennis

February 7, 2021 – February 8, 2021

Web Application - Scraper Tennis

View Project

Martin-Moritz

November 1, 2020 – September 14, 2021

Martin-Moritz — GitHub repository

View Project

Dashboard-Python

November 1, 2020 – February 8, 2021

Dashboard Python - Ecart Salarial Femmes-Hommes

View Project

Projet-R

October 25, 2020 – November 1, 2020

Projet-R — GitHub repository

View Project

Projet-Python

October 19, 2020 – November 1, 2020

Projet-Python — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science through personal projects (Projet-R, Dashboard-Python, Projet-Python).
Experience with Python and R, key languages for Data Science.
Familiarity with Jupyter Notebook for data analysis and presentation.
Exposure to web scraping (Scraper-Tennis) which can be relevant for data acquisition.

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.

Martin Moritz

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit