Freelancer profile translated to English.
Back to original languageAbout Clément
Supélec engineer by training, I offer my services to address your challenges in Data Science / Machine Learning / Data Engineering.
Client-oriented and versatile, I have worked for the past three years as a data scientist consultant where I encountered many exciting data challenges for clients in various sectors (banking, insurance, health, energy, public sector).
More recently, I have developed a particular appetite for Google Cloud Platform.
I can participate in the entire lifecycle of a data project:
- Design of cloud data architecture (Google Cloud Platform)
- Choice of a relevant task and target to address a business problem (classification, regression, clustering, anomaly detection, graph analysis, recommendation system, etc.)
- Data acquisition (internal data, external public data, web-scraping, APIs)
- Data visualization
- Feature Engineering (creation of relevant features, processing of categorical features, etc.)
- Definition of a cross-validation strategy, hyperparameter optimization, choice of relevant metrics to validate model performance
- Model training, ensemble learning
- Model testing and deployment
French
Native or bilingual
English
Fluent
Portuguese
Fluent
Remote only
Primarily works remotely
Experience
- ENEMAT (Mandataire de Shell)Data EngineerENERGY AND UTILITIESDecember 2019 - January 2021 (1 year and 2 months)Paris, FranceDesign of a data architecture on Google Cloud Platform for importing, processing, and analyzing data from thermal insulation operations related to the national Energy Savings Certificates (CEE) scheme.Data challenges:- Streaming import into BigQuery of large amounts of data in various formats- Automation and synchronization of different workloads (scheduled queries in BigQuery, JS scripts in Apps Script)- Interaction with the Data Warehouse for non-technical collaborators via G Suite- Feature Extraction from regulatory documents using AutoML Natural Language- Design of dashboards using Google Data Studio
- SulAmericaData ScientistBANKING AND INSURANCEAugust 2018 - February 2019 (6 months)Development and deployment of a supervised machine learning model estimating the probability of unplanned hospital readmission within 30 days.Data challenges:- High cardinality categorical data (International Classification of Diseases, for example)- Imbalanced classes (imbalanced learning)- Highly penalizing false negatives (Use of adapted metrics such as F1-score)- Temporal cross-validation- Model deployment in Google Cloud Platform
- Chambre de commerce de Rio de JaneiroData ScientistPUBLIC SECTORApril 2018 - August 2018 (4 months)Segmentation of the SME/VSE ecosystem in Rio de Janeiro.Decision support for new local entrepreneurs (restaurateurs, hairdressers, etc.) to set up their businesses.Data challenges:- Enrichment of the Chamber of Commerce database (scraping Google Maps API, scraping socio-demographic data from the national census)- High-dimensional data clustering- Integration of results into the Chamber of Commerce's PowerBI dashboards
Reviews
Emmanuel
ENEMAT
Reviewed on 3/21/2020
Clément is fully dedicated to the missions entrusted to him.
He is a highly qualified and talented individual.
Thank you.
Emmanuel
ENEMAT
Reviewed on 2/29/2020
Clément is very involved in his work, always striving for excellence, which he achieves every time he puts his hands on a keyboard.
Clément has chosen to hide 1 review
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Education
- Engineering DegreeCentraleSupélec2014
- Preparatory Classes - MPSI/MP*Lycée Janson de Sailly2011
Certifications
- Professional Data EngineerGoogle Cloud2020