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Mathieu Carmassi is listed as Ph.D., Research Engineer at Cartier, a company with 6073 employees, based in Geneva Metropolitan Area, Switzerland, Switzerland. AeroLeads shows a work email signal at cartier.com and a matched LinkedIn profile for Mathieu Carmassi.
Mathieu Carmassi previously worked as Data Science Manager at Cartier and Data Scientist at Cartier. Mathieu Carmassi holds Ph.D., Applied Mathematics, Ph.D. In Applied Mathematics from Université Paris-Saclay.
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AeroLeads found 1 current-domain work email signal for Mathieu Carmassi. Compare company email patterns before reaching out.
Avec plus de cinq ans d'expérience professionnelle, je suis actuellement le Manager International des données commerciales chez Cartier, où j'excelle dans la création de solutions data innovantes sur Google Cloud Platform (GCP). Ma mission est d'orchestrer la gestion de data products de qualité, en accord avec les valeurs de Cartier. Je suis passionné par la transformation des données en insights commerciaux stratégiques, et j'apporte une perspective diversifiée et une expertise en machine learning (ML) et en base de données transform tool (DBT) à mon équipe.Dans mon rôle actuel, je dirige une équipe dédiée à la structuration d'un datamart commercial, en assurant la qualité et la pertinence des produits de données pour une application business. Nous utilisons DBT pour transformer les données et LookML pour établir une couche sémantique, tout en continuant à améliorer l'apprentissage automatique initié dans mon poste antérieur chez Cartier comme Data Scientist. Ces compétences me permettent de contribuer activement à la stratégie data de l'entreprise et à l'optimisation des prévisions de ventes.
Listed skills include Python, R, Matlab, Statistiques, and 16 others.
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A career timeline built from the work history available for this profile.
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.
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.
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.
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.
Other employees you can reach at cartier.com. View company contacts for 6073 employees →
Diego Chiaretta
Colleague at CartierTurin, Piedmont, Italy, Italy
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KR
Katrin Riffaud Korte
Colleague at CartierFrance, France
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Nicole Y.
Colleague at CartierHong Kong, Hong Kong SAR, Hong Kong
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Khouloud Wali
Colleague at CartierAbu Dhabi, Abu Dhabi Emirate, United Arab Emirates, United Arab Emirates
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Jean-Alexandre Dumond
Colleague at CartierSwitzerland, Switzerland
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Peter Gottlieb
Colleague at CartierSan Diego, California, United States, United States
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MA
Mona Alghamdi
Colleague at CartierRiyadh, Saudi Arabia, Saudi Arabia
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Carol Sussman
Colleague at CartierWarminster, Pennsylvania, United States, United States
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Slawomir Weglarz
Colleague at CartierNew York, New York, United States, United States
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AH
Alexis H.
Colleague at CartierNew York City Metropolitan Area, United States
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See professional experience above for further details.
-Finite element study -Crack propagation and fatigue study -Active and composite materials study -Reliability with sensitivity analysis.
Quick answers generated from the profile data available on this page.
Mathieu Carmassi works for Cartier.
Mathieu Carmassi is listed as Ph.D., Research Engineer at Cartier.
AeroLeads has found 1 work email signal at @cartier.com for Mathieu Carmassi at Cartier.
Mathieu Carmassi is based in Geneva Metropolitan Area, Switzerland, Switzerland while working with Cartier.
Mathieu Carmassi has worked for Cartier, Edf, The University Of Arizona, Energy Panel, and Apave.
Mathieu Carmassi's colleagues at Cartier include Diego Chiaretta, Katrin Riffaud Korte, Nicole Y., Khouloud Wali, and Jean-Alexandre Dumond.
You can use AeroLeads to view verified contact signals for Mathieu Carmassi at Cartier, including work email, phone, and LinkedIn data when available.
Mathieu Carmassi holds Ph.D., Applied Mathematics, Ph.D. In Applied Mathematics from Université Paris-Saclay.
Mathieu Carmassi is listed with skills including Python, R, Matlab, Statistiques, Finite Element Analysis, Structural Analysis, Structural Optimization, and Mathematical Programming.
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