Freelancer profile translated to English.

Description

Experienced Data Science and AWS Cloud Manager with over 10 years of professional experience and more than 5 years leading IoT and Predictive Maintenance projects in the industrial and transport sectors. Proficient in developing full-stack solutions, team leadership, and AWS Serverless architectures. Proven track record in implementing real-time monitoring applications to reduce manual inspection costs and avoid costly stockouts. Strong background in data-driven decision-making, cloud infrastructure, and scientific research.

Languages

French
Native or bilingual
German
Fluent
English
Fluent

Workplace preferences

Can work on-site

Schwerin (up to 50km), Hamburg (up to 50km), Lübeck (up to 50km), Rostock (up to 50km)

Stimio by CBM
AWS CLOUD / DATA TEAM MANAGER
INTERNET OF THINGS (IOT)
October 2021 - May 2025 (3 years and 7 months)
Nantes, France
• Leading IoT projects for infrastructure monitoring, fleets, and predictive maintenance.
• Key projects (selection):
◦ Development of clustering algorithms based on vibration analysis for geolocation and characterization of track and overhead line damage, enabling early fault detection and reducing manual inspections by more than 3 technicians.
◦ Automation of silo supply to avoid stockouts and associated contractual penalties:
◦ Analysis of data from a permanently installed sensor on-site
◦ Development of algorithms to determine optimal refilling times
◦ Implementation of a live notification system connected to order management
◦ Achieving 3 consecutive years of uninterrupted operation without contractual penalties for customers
◦ Forecasting frost deposits to improve maintenance planning
◦ Detection of weak CAN bus signals for fault identification in bus fleets (communication protocol).
• Management and structuring of teams for data pipelines, dashboards, applications, and machine learning solutions.
• Technical stack: Scientific Python, AWS Serverless (Lambda, S3, Glue), GitHub Actions.
• Participation in R&D projects within the Daydreams project (daydreams-project.eu) and author of scientific articles (DOI:10.1109/MT-ITS56129.2023.10241648). Leading the company's R&D strategy.
Machine learning Python (Programming Language) Statistics Agile method Team-Management
My Money Bank
DATA SCIENTIST
BANKING AND INSURANCE
October 2019 - October 2021 (2 years)
Nantes, France
• Development of advanced credit risk models incorporating forward-looking IFRS 9 impairments and ALM Monte Carlo simulations, improving the accuracy of financial risk predictions. Successfully audited and approved by the ACPR (French supervisory authority) without any objections, demonstrating full regulatory compliance and methodological rigor.

• Elimination of non-value-adding steps in the debt collection process through process mining, resulting in savings of 2 full-time equivalents (FTEs) in workload.

• Automation of corporate credit scoring based on financial and tax documents, aiming to replace 2 FTEs and accelerate the credit decision process.
Comerso
DATA SCIENTIST
LOGISTICS AND SUPPLY CHAIN
January 2018 - October 2019 (1 year and 9 months)
Angers, France
• Development and deployment of machine learning models to automate monitoring and conduct transversal studies, strengthening data-driven decision-making processes in a public data observatory.

• Development of operational and financial reporting dashboards, increasing transparency and improving 6-month forecast accuracy for strategic planning.

• Initiation and leadership of an innovation project valued at €1 million, awarded the I-Nov Innovation Prize.