Description

Ingénieur Data passionné avec une solide expérience en traitement de signal. Compétent dans l'analyse, la modélisation et l'interprétation de données complexes pour résoudre des problèmes concrets. Expertise avérée en développement d'algorithmes de traitement de signal pour améliorer la qualité des données et optimiser les performances.

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Can work on-site

Antibes (up to 50km)

Orígenes
Research Engineer
MEDICAL
March 2025 - Today (1 year and 3 months)
Sophia Antipolis, France
Creation of research platform to determine mental state. The start-up is on creation an we aim to create a validated software to help people with Sensory processing disorder.
Python 3 Signal Processing
Median Technologies
Data engineer
MEDICAL
September 2022 - Today (3 years and 9 months)
Sophia Antipolis, France
• Leverage Python for scripting and automation tasks.
• Utilize MongoDB for efficient data storage and retrieval.
• Implement containerization using Docker and Docker Compose for seamless deployment.
• Handle data processing to transform raw data into actionable insights.
• Develop APIs using Flask for smooth data communication.
• Create interactive dashboards with Dash for intuitive data visualization.
• Address questions and provide answers through data analysis, custom queries, and pipelines.
Python Docker docker-compose Jenkins Data Engineer Dash API
Median Technologies
Data Engineer
September 2022 - Today (3 years and 9 months)
Sophia Antipolis, France
• Created complex data pipelines in Python for various protocols.
• Managed data preparation, enrichment campaigns, and data export.
• Developed a real-time web app aiding radiologists in diagnostics, with automated image processing for quality control.
• Ensured software modules/tools met code quality standards (SonarQube).
• Conducted verification and validation for FDA regulatory compliance.
• Automated data processing workflows to improve efficiency and reduce manual intervention.
• Optimized existing algorithms to enhance performance and accuracy.