Data Engineer • Data Analyst • Data Scientist

Oussama
Messaoudi

Building robust data pipelines and transforming industrial data into actionable insights through innovative engineering solutions.

View Projects Get in Touch
01

About Me

I'm a Data Engineer with a strong foundation in data science and AI, passionate about building scalable data infrastructure and extracting meaningful insights from complex industrial systems.

With dual engineering degrees from ENSAM and École Centrale de Lyon, I specialize in developing data pipelines for IoT sensors, optimizing time-series databases, and creating interactive dashboards for industrial KPI visualization.

Currently at Hyggle in Lyon, I focus on energy market data processing, working with RTE APIs, forward curve calculations, and orchestrating workflows with tools like Prefect, Airflow, and Mage.

Data Engineering
Python, Spark, Pandas, NumPy • Pipeline Development
Databases & Storage
PostgreSQL, TimescaleDB, MySQL, MongoDB, InfluxDB
Orchestration & Tools
Airflow, Prefect, Mage • Docker, Kubernetes • Git
Analytics & ML
TensorFlow, PyTorch, Scikit-learn • Power BI, Tableau, Spotfire
Cloud Platforms
Azure, AWS • Databricks
02

Experience

Data Engineer

Hyggle • Lyon, France
October 2025 - Present
  • Develop and maintain data pipelines collecting and transforming industrial data from IoT sensors, REST APIs, FTP servers, and web sources
  • Design and optimize databases for high-volume time-series data storage using PostgreSQL and TimescaleDB
  • Ensure data robustness and quality through automated orchestration and monitoring systems
  • Build interactive dashboards for industrial KPI visualization and analysis
  • Work with energy market data including RTE API data and forward curve calculations

Data Analyst - End of Year Internship

Renault Group (Ampère SAS) • Lyon, France
March 2025 - Present
  • Developed a data model organizing all data from battery production processes, machines, and products in a data lake
  • Implemented search and data cross-referencing tools for materials, protocols, and results
  • Automated data processing for use cases and implemented statistical tools
  • Set up laboratory monitoring dashboards using TIBCO Spotfire
  • Modeled problems and provided data-driven interpretations to relevant teams

Data Quality Analyst

Arrow Electronics
2023 - 2024
  • Collected, analyzed, and ensured integrity and consistency of data from multiple sources
  • Modeled encountered problems and provided responses and interpretations based on data analysis
  • Designed, developed, and implemented predictive statistical models to evaluate probability of converting prospects into customers

Data Scientist - Internship

The International Center of Artificial Intelligence of Morocco
February - August 2022

Project: Smart Drone Navigation for Object Recognition

  • Collected, prepared and transformed data for training and testing computer vision models
  • Studied and developed object detection models for drone navigation
  • Researched autonomous navigation methods based on deep reinforcement learning and tested them in simulation

Data Analyst - Internship

APTIV
July - August 2021
  • Analyzed financial data of APTIV projects between 2017 and 2021
  • Developed and fine-tuned Machine Learning models to predict investments for new projects
03

Featured Projects

01

Market Voice Analytics

An end-to-end NLP pipeline analyzing central bank communications from the ECB and Federal Reserve, performing financial sentiment analysis with FinBERT and correlating results with market movements across major indices and currencies.

Python NLP Airflow PostgreSQL Streamlit
View Project →
02

Energy Market Data Infrastructure

Comprehensive data pipeline for French electricity market data, collecting real-time generation data from RTE APIs, implementing TimescaleDB optimizations for fast queries, and managing forward curve calculations for gas and electricity markets.

Python TimescaleDB Prefect PostgreSQL REST APIs
03

Smart Drone Navigation

Computer vision and deep reinforcement learning system for autonomous drone navigation with object detection capabilities. Developed models using TensorFlow and PyTorch, tested in simulation environments.

Python TensorFlow PyTorch Computer Vision Deep RL
04

Let's Connect

I'm always open to discussing new data engineering projects, collaboration opportunities, or innovative solutions in the industrial data space.

messaoudi.oussama@outlook.com