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darckens/README.md

Ibrahim BENKHERFELLAH

Student in Data Science | Applied Mathematics & Statistics | Operations Research Engineer

About Me

I am currently pursuing a Bachelor's degree in Data Science at Sorbonne Paris North University.
My academic background combines applied mathematics, statistics, and computer science.

Driven by a strong interest in health and data, I aim to become a biostatistician, using data to support medical decisions and improve patient outcomes. I enjoy working with real-world datasets, building predictive models, and turning complex data into actionable insights.

Technical Skills

Statistics & Data Analysis

• Descriptive & inferential statistics
• Regression, classification, time series analysis
• Multivariate analysis, sampling, hypothesis testing
• Statistical modeling and probabilistic reasoning
 Programming & Data Engineering

• Python (NumPy, Pandas, Matplotlib, Scikit-learn)
• R (RStudio, R Shiny)
• SQL (PostgreSQL, SQLite, etc...), NoSQL
• Java, HTML / CSS / JS
 Data Visualization & Reporting

• Excel (Power Query/Pivot, VBA)
• Tableau & Power BI
• Metabase
• Technical reporting, storytelling, communication

Socials

Tech Stack

HTML5 CSS3 JavaScript

Python Pandas Matplotlib NumPy Plotly SciPy Skitlearn

R Rstudio Mathematica Sphinx

Postgres MySQL SQLite Metabase DBeaver

Jupyter Badge Google Colab Overleaf Markdown LaTeX Anaconda

Pinned Loading

  1. portfolio portfolio Public

    HTML

  2. SAE-S2.01 SAE-S2.01 Public

    Forked from axcou/SAE-S2.01

    Projet de création et d'implémentation d'une base de données

    Jupyter Notebook

  3. SAE-S2.03 SAE-S2.03 Public

    Analyse statistique de données médicales sur des tumeurs mammaires : exploration, corrélation et régression linéaire.

    Jupyter Notebook