Philippe Meneret

Graduated from Mines Paris, former AI Lead at Sopra Steria Aeroline and Senior Quant Consultant at Eurodecision, I have already carried out numerous projects in data science, artificial intelligence, and optimization.

Being CIR accredited, you can recover 30% in the form of CIR (research tax credit).

I intervene at each stage of the project:

- Understanding the need and scoping

- Data analysis

- Development of the main algorithm and a prototype

- Production deployment (Cloud, SaaS, or on-premise)

As a generalist, I have particular expertise in operational research (linear programming, heuristics, constraint programming) and machine learning (time series in particular). I have solid business experience in industry (healthcare, aeronautics, retail...) and in supply chain (logistics, transport, warehousing...).

My main achievements (from development to production deployment):

- Optimization of the upstream transport plan (Automotive)

- Supply management module (Automotive)

- Optimization of logistics routes (Healthcare)

- Reverse engineering of a governmental algorithm (Healthcare)

- Damage detection on industrial parts (Aeronautics)

- Automatic classification of paragraphs/documents (Aeronautics)

- Production log analysis (Aeronautics)

- Sales forecasting and procurement management (Retail)

- Operational tool for pallet loading (Retail)

- Human resources planning tool (Healthcare)

- Risk management optimization tool (Aeronautics)

My technical skills:

Languages: Python (pandas, sklearn, tensorflow, keras, or-tools, etc.), Solvers (Cplex, Gurobi, Scip), SQL

Cloud: AWS mainly (Lambda, EC2, S3, CloudWatch...) but also Azure & GCP

BI: Power BI, Qlik

I am equally capable of carrying out one-off studies as I am of building tools connected to your IS and specifically meeting your needs.