You're seeing this page as if you were . The main menu is still yours, though. Exit from immersion
Malt Strategy
New report
Malt Tech Trends 2026
Youssef AchouYA

Youssef Achou

Data Scientist & ML Engineer | Python Optimization

€450/day
Paris, FR
3-7 years
Python
LightGBM
Big Data
Machine learning
Jupyter Notebook

Average response time: 1 hour

Freelancer profile translated to English.
Back to original language

About Youssef

I help companies turn their data into clear decisions. My work involves cleaning, analyzing, and modeling your datasets to extract concrete and actionable insights.

What I can do for you:

Analysis & Exploration: In-depth study of your files (CSV, Excel, SQL) to identify trends and anomalies.

Data Cleaning: Processing missing data and structuring your databases to make them ready for use.

Predictive Modeling: Implementing simple and effective Machine Learning models (Classification, Prediction) to anticipate your needs.

Optimization: Improving your existing Python scripts to make them faster and less resource-intensive.

My approach:
I prioritize simplicity and clarity. I ensure that the code is clean, well-explained, and that the results are easy for your teams to understand.

"Have an analysis project or need a hand with your data? Contact me to discuss!"

  • French

    Native or bilingual

  • English

    Conversational

Remote only
Primarily works remotely

Experience

  • Projet Analyse de Données (Auto-formation / Freelance)
    Sales Trend and Customer Behavior Analysis (E-commerce)
    E-COMMERCE
    March 2026 - April 2026 (1 month)
    Paris, France
    Audit and analysis of a transactional dataset to identify growth levers for an online store.

    Data Cleaning: Processing a raw dataset with Pandas (handling duplicates, date formats, outliers).

    Performance Analysis: Calculation of key KPIs (Average Basket Size, Retention Rate, Seasonality).

    Visualization: Creation of clear charts with Matplotlib and Seaborn to present findings.

    Result: Identification of 3 major customer segments for better targeting of marketing campaigns.
    Python Jupyter Notebook Big Data SQL Matplotlib
  • AgriTech Data Solution (Projet R&D)
    Development of an Optimized Predictive Model for Connected Agriculture (AgriTech)
    AGRICULTURE
    January 2026 - February 2026 (1 month)
    Paris, France
    Design and deployment of a complete Machine Learning pipeline to predict irrigation needs from environmental sensor data.

    Technical Challenges Addressed:

    Performance Optimization: Migration from a Random Forest architecture (100% CPU saturated) to a LightGBM solution, reducing training time by 80%.

    Memory Management: Implementation of downcasting and data cleaning techniques to process large datasets on limited resources.

    Feature Engineering: Creation of synthetic variables to capture correlations between humidity, temperature, and resource needs.

    Robust Validation: Implementation of stratified cross-validation (Stratified K-Fold) to ensure prediction reliability on unseen data.

    Results:

    Functional model with an optimized Balanced Accuracy metric.

    Documented and modular code, ready for production integration.
    Python Jupyter Notebook Big Data

Recommendations

Be the first to recommend Youssef

Help this freelancer shine by sharing your experience working together.

These freelancer profiles also match your criteria

AgathaA

Agatha Frydrych

Backend Java Software Engineer

4.7

(3)

2

BaptisteB

Baptiste Duhen

Fullstack developer

4.6

(4)

5

AmedA

Amed Hamou

Senior Lead Developer

4

(2)

7

AudreyA

Audrey Champion

Web developer

4.3

(3)

4

Signup to reveal

Education

  • Google Data Analytics Professional Certificate
    Google Data Analytics Professional Certificate
  • Master's Degree in Computer Science
    Maîtrise / Master en informatique

Certifications

Categories