Mathieu Carmassi Email & Phone Number

Meyrin, Genève, Suisse

Manager une équipe pour créer et structurer le datamart de données commerciales sur GCP:- gérer de l’ingestion jusqu’à l’utilisation des data products- gérer l’ownership de ces en s’assurant de la qualité et de la mise à jour de celles-ci- utiliser DBT comme outil de transformation pour créer des data products pertinents pour une utilisation business- partager les data product aux régions dans le cadre de la mise en place d’une politique data mesh- créer le code lookml pour établir une couche sémantique d’utilisation des données au sein de l’écosystème looker.- continuer le travail d’amélioration de machine learning initié dans le poste précèdent - proposer et mettre en place des projets data au service de l’organisation commercial Cartier- soutenir les initiatives data en central en fournissant des datasets pertinent pour le besoin de l’application finale (très souvent Anaplan). Cela s’accompagne du maintient des flux, et de la mise à jour des données.

Meyrin, Canton De Genève, Suisse

Within the commercial department my main tasks are:Create sales forecasting models with ML: - Short Term with daily predictions by market and distribution channel - Long Term with monthly predictions by region and distribution channel - Data Engineering with experts to find relevant variables (multivariate model)Deploy in production these models: - Code pushed to GitLab - CI/CD from GitLab to dockerize and send the image in the Container Registry from GCP (Google Cloud Platform) - Use the image in a Cloud Function triggered by a Pub/Sub message in successive operationsBuild the data warehouse for the commercial department in GCP (BigQuery): - Gather data from other workspace in GCP - Concatenate, check, and build the commercial mapping to be able to access the data with a proper splitConnect the data warehouse and data from the commercial department with external applications: - Anaplan - Looker (Developer training received) - Power BI

Paris Area, France

Data processing, implementation of Machine Learning (statistical learning) models and establishment of visual applications (Shiny type) on customer consumption data.Method and software used :- R & Python- Tidyverse & Numpy- Xgboost, neural networks, glmnet, etc... (Scikit-learn in Python)- Shiny

Région De Paris, France

The academic partnership is AgroParisTech.The subject of the PhD is:Quantification of uncertainties and validation of a photovoltaic plant model: warranty of performance and robust estimation of the long-term electric generation.So far the parameters used for the modelisation were coming from expert reports as the albedo or the forced convection coefficient. For the others, they were calibrated thanks to experiments realized in laboratories like the shunt or series resitances (coming from the equivalent electric circuit). All these parameters contain uncertainties we have to identify and take into account to provide a better estimator of the production of electricity.

Région De Paris , France

-Programming in Python of a sensitivity method (screening) to set up a wrapper with a finite elements model.

Departement Aerospace And Mechanical Engineering

- Work on car crash test finite elements models with the software LS-DYNA.- Use experiments realized by a specialized company to establish "fidelity maps" with allow to identify some parameters of the problem.

Lucena, Espagne

- Build data basis in Access to order every problems noticed on the products and do the statistics.- Lead experiments on photovoltaic and thermodynamic panels and establish conclusion about them.- Develop and design a system to maintain two panels together.- Work on structural computing on a soldering machine (design experiments, finite element models,..)

Agen

- Benchmark of the software ROBOT (and finite elements method applied to civil engineering).- Study and check the strength steel frameworks.- Use my knowledge in finite elements to use it for civil engineering problems like roads structures for example.

Villeneuve-Sur-Lot, France, 47

- Machine mechanic part for the aeronautical field.- Control this parts and check if they are conform.- Do assembly.

Ph.D., Applied Mathematics, Ph.D. In Applied Mathematics

See professional experience above for further details.

Diplôme D'Ingénieur, Mechanical Structures And Material Sciences

-Finite element study -Crack propagation and fatigue study -Active and composite materials study -Reliability with sensitivity analysis.

Licentiate Degree, Physics And Mathematics

Licentiate Degree, Physics And Mathematics

Bachelor Of Science (Bsc), Engineering Sciences