Description

I help companies make smarter decisions with data whether that means building predictive models, improving forecasts, automating processes, or solving complex optimization problems.

As an AI Engineer working daily on real-world predictive modeling projects, I know that businesses don’t just need “models”, they need solutions that actually bring value, save time, reduce costs, or improve performance. That’s the mindset I bring to every collaboration.

What I enjoy most about freelancing is helping people turn ideas or operational challenges into concrete, data-driven solutions. I’m especially interested in projects where AI, Data Science, and Operations Research can create a real impact.

Here’s how I can help:

- Predictive modeling & forecasting

- Machine Learning solutions

- Data analysis & visualization

- Optimization and Operations Research problems

- Decision-support tools

- Process automation using AI

I’m comfortable working on both technical and business-oriented projects, and I always aim to keep communication clear, collaborative, and focused on results.

If you’re looking for someone who combines strong analytical skills with a practical business approach, I’d be happy to discuss your project and see how I can help.

Langues

Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Arabe
Bilingue ou natif

Préférences en matière de lieu de travail

En télétravail uniquement

Travaille majoritairement à distance

NAREVA
Data Scientist
ENERGIE
décembre 2024 - Aujourd'hui (1 an et 8 mois)
Driving Innovation in AI and Digitalization for Renewable Energy

Key achievements:

Designed, developed, and productionized an optimization model that allocates energy to clients while maximizing revenue and ensuring contractual compliance.

Built a production forecasting model using Temporal Fusion Transformers to predict future energy output.

Delivered availability and performance reports to business units, providing clear insights into overall park performance.
WeatherMind
Data Scientist/ Deep Learning Engineer
mars 2024 - septembre 2024 (6 mois)
Paris, France
WeatherMind is an AI-driven software designed to help insurers streamline and expedite the property damage assessment process following natural disasters. During this internship, I contributed to enhancing the AI product that predicts the likelihood of subsidence.
• - Applied prompt engineering techniques to extract key features from images using vision language models.
• - Developed an end-to-end machine learning pipeline to train multiple models and identify the best model for predicting subsidence cases.
• - Created scripts to deploy the best model for inference.
• - Developed Flask APIs to extract open-source data for use in expertise reports.
• - Adapted APIs to AWS Lambda function.
CHANEL
Data Analyst, Supply Chain
juin 2023 - septembre 2023 (3 mois)
Paris, France
Developed order tracking dashboard to optimize invoice payments decisions, ensuring prompt payments.