FR
Looking for a 4–6 month internship | From February 2026

Mehdi Boussalem

Master’s student in Data Analytics

Passionate about data, I master the end-to-end value chain:
from data extraction with SQL/Python to building predictive models and impactful dashboards.

View my experiences Explore my projects

Master 2

Data Analytics

3+

Projects Completed

SQL + Python

Extraction & Manipulation

ML

Sklearn + Pandas

My Skills

Data Science

Programming languages

  • Python
  • SQL

Databases

  • PostgreSQL
  • MySQL
  • SQLite

Business Intelligence (BI)

  • Power BI
  • Excel
  • Tableau
  • Looker Studio

Cloud

  • Google Cloud Platform
  • Amazon Web Services

Data Analysis & Visualization

  • Pandas
  • Seaborn
  • Matplotlib

Web Scraping

  • Selenium
  • BeautifulSoup
  • API

Machine Learning & Deep Learning

  • Scikit-learn
  • NumPy

Programming

Frontend

  • HTML/CSS
  • JavaScript
  • Streamlit

Backend

  • PHP
  • Django
  • Flask
  • Java

DevOps

  • Kubernetes
  • Docker

Scripting

  • C/C++
  • Shell
  • Bash

Soft Skills

Languages

  • French (Native)
  • English (Fluent)

Project Management

  • Agile Methodology

Education

Master in Data Analytics

Université de Toulon Toulon, France 2024 - 2026

Bachelor’s in Computer Science

CY Cergy Paris Université Cergy-Pontoise, France 2024

Scientific Baccalaureate, Computer Science specialization

Lycée Georges Bracques Argenteuil, France 2020

Experiences

UFR Ingemedia - Toulon

March 2025 - July 2025
Data/IA & Dev Intern

Missions:

  • Data analysis of HAL publications via a Python notebook to identify and visualize trends related to Artificial Intelligence
  • Development of an internship management platform to automate processes for students, teachers and administration
  • Implementation of an optimization algorithm for automatic timetable generation under multiple constraints
  • Creation and training of agents (AI) designed to automate specific tasks
  • SQL
  • Python
  • Pandas
  • Matplotlib
  • Seaborn
  • API
  • Django
  • HTML/CSS
  • JavaScript
  • PostgreSQL
  • Google OR-Tools
  • Linux

Worldline - Seclin

April 2024 - July 2024
SRE Intern

Missions:

  • Participation in the "Move to Cloud" project to migrate infrastructures to Google Cloud Platform
  • Development of BASH scripts for device monitoring, enabling updates without production downtime
  • Rebuilt and modernized a legacy file transfer application, migrated and automated on Google Cloud Platform
  • Created a Python script to manage storage on an AWS bucket by automating file deletion
  • Python
  • Amazon Web Services
  • Google Cloud Platform
  • API
  • Bash
  • Shell
  • Docker
  • Kubernetes
  • Linux

Projects

  • Alumni Network

    In progress

    Key features

    • Building the alumni network database for UFR Ingemedia
    • LinkedIn scraping to collect alumni and their info (role, company, location)
    • Cleaning, normalizing, deduplicating and storing profiles in a DB
    • Interactive map to visualize the network in France and worldwide
    • Scraping internship offers from companies employing alumni and publishing on the alumni site
    • “Contact alumni” button to facilitate networking and internship search

    Technologies used

    • Python
    • Selenium
    • BeautifulSoup
    • SQLite
    • Flask
    • JavaScript

  • Data analysis - Real estate project

    2025

    Key features

    • Ingest an Excel file provided by a real estate agency
    • Data cleaning and preparation with Python (pandas), then load into MySQL
    • Data enrichment via the Open Data DVF API (real-estate sales)
    • Power BI dashboard connected to the database
    • Streamlit web app to explore and manipulate data
    • Train a predictive model to estimate property prices

    Technologies used

    • Python
    • Pandas
    • Excel
    • Power BI
    • Matplotlib
    • Seaborn
    • Open Data DVF API
    • Streamlit
    • MySQL

  • Data analysis - Electricity provider

    2025

    Key features

    • Ingest an Excel file of sales data from an electricity provider
    • ETL with Python and pandas (cleaning, transform, load)
    • Power BI dashboard to show company trends over the years

    Technologies used

    • Python
    • Pandas
    • Matplotlib
    • Seaborn
    • Power BI

  • Parcoursup ranking prediction

    2024

    Key features

    • Collected Excel files listing Parcoursup applicants to CY Cergy Paris Université and grades of admitted students
    • Data cleaning, preparation and consolidation with Python (pandas)
    • Trained a linear regression model (scikit-learn) to predict candidates’ future grades
    • Ranked candidates by expected performance from the predictive model
    • Analyzed model coefficients to identify the most important subjects and criteria for success at CY Cergy Paris Université

    Technologies used

    • Python
    • Pandas
    • Scikit-learn
    • NumPy
    • Seaborn
    • Matplotlib
    • Excel