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Madjiguene D. SeneMD

Madjiguene D. Sene

Data Scientist & Devops

€150/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Madjiguene

Experienced Data Scientist, I support companies (Startups, SMEs, Large Accounts) in leveraging their data to facilitate strategic decision-making.

My approach is pragmatic: transforming your raw data into concrete growth levers, from exploration to the production of predictive models.

💡 What I can do for you:

Exploration & Cleaning: Data audit, cleaning, ETL pipeline structuring.

Machine Learning & Modeling: Development of predictive algorithms (Classification, Regression, Clustering, NLP...).

Data Visualization: Creation of interactive dashboards and automated reporting to make data accessible to business teams.

Deployment: Production of models (API, Cloud).

🛠 My Technical Stack:

Languages: Python (Expert), SQL, R.

Data Science: Pandas, NumPy, Scikit-Learn, TensorFlow/Keras, PyTorch.

Viz: Tableau, PowerBI, Matplotlib, Seaborn, Streamlit.

Environment & Cloud: Git, Docker, AWS/GCP (depending on your needs), Jupyter.

Why collaborate with me?

Dual technical and business expertise.

Clean, documented, and reproducible code.

Ability to simplify complex concepts for non-technical stakeholders.

Available for short-term missions (audit, POC) or long-term (data team integration). Let's discuss your Data challenges!
  • English

    Native or bilingual

  • French

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • Eurosmart
    Data Scientist & Devops
    July 2024 - Today (1 year and 11 months)
    Lagny-sur-Marne, France
    Developed a secure data analysis web application used by clients. Automated data cleaning using Python, reducing manual processing time. Deployed 100% of the architecture on Docker, ensuring complete portability. Ensured algorithm reliability through rigorous performance testing.
  • GIP
    Data Analyst Intern
    January 2023 - August 2023 (7 months)
    Rennes, France
    Built probabilistic models predicting network loads with 75% accuracy. Created 3 dynamic dashboards, reducing management decision-making time. Analyzed and cleaned databases to ensure analysis integrity. Identified key performance indicators to anticipate 100% of incidents.
    Microsoft Power BI SQL Specifications Data Visualization Python
  • RATP via Samsic Paris
    MANAGEMENT
    June 2023 - August 2024 (1 year and 2 months)
    Paris, France
    Managed a team of 16 agents, security protocols, scheduling, and break management.

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Education

  • Master 2
    Université Paris 8 Saint-Denis
    2026
    Master 2
  • Bachelor's Degree in Applied Mathematics, Statistics
    Université Paris 5 Paris
    2024
    Licence Mathématiques Appliquées, Statistique

Skill set

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