Freelancer profile translated to English.
Back to original languageAbout Esso-Ridah
AI Science
Expert in the methodological development of AI algorithms according to strategic and commercial projects oriented towards solutions to real application problems.
Example: J+3 prediction application for the presence and allergy risk of airborne pollen in France, monitoring the activity of people with reduced autonomy in their homes.
ML Ops Engineering
Amazon Web Service engineer for the conceptualization and construction of efficient data processing pipelines through training, testing, and deployment of high-quality models in production capable of operating at scale.
Research & Innovation
Researcher in methodological and algorithmic development and innovation in the exploitation of asymmetric, zero-inflated, and heavy-tailed environmental data from real-time sensor networks. Risk prevention algorithms (pollen vulnerability and allergy) built for businesses.
Teaching & Mentoring
University assistant for Machine Learning lab sessions, trainer, and mentor on academic machine learning projects for Master's students in statistics at the University of Rennes 1.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Lyon (up to 50km), Bordeaux (up to 50km), France (up to 50km), Nantes (up to 50km)
Experience
- CEVMachine Learning Engineer, Data ScientistDIGITAL AND ITSeptember 2017 - November 2018 (1 year and 2 months)Saint-Lô, FranceMachine learning missions (supervised and unsupervised learning, data mining, text mining...) for major clients such as Total, Logis, DAlbe.
- Caisse épargneData ScientistBANKING AND INSURANCEMay 2017 - September 2017 (4 months)Rennes, FranceData collection, exploitation, and quality improvement (Deduplication, descriptive statistics, data imputation...)Building the analysis dataset (PCA, MCA, Lasso Regression...)Development and validation of statistical models (supervised and unsupervised learning)Documentation (decision support report), presentation and implementation of results.
- JanasenseData Scientist PhD CandidateHEALTH AND WELLNESSNovember 2018 - August 2020 (1 year and 8 months)Orléans, FranceStream Data CompressionStream Data Compression: development of a dynamic propagation-based stream data compression algorithm using piecewise linear approximation and a complexity criterion (minimum description length).Workshop: presentation of a talk at the FDST day on 09/12/2019 at Telecom ParisTech on the theme "learning on data streams and time series"Responsible for building ML algorithmsAutomatic Human Activity Detection: development of machine learning and deep learning algorithms to automatically detect activities such as showering, eating, etc., of people in their homes.
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Education
- Ph.D (Doctorate)University of South Brittany2023Docteur, mention Informatique spécialisé dans la Data & AI Science
- MasterUniversity of Rennes12016Statistiques Économétrie Prévision Risque et Marché