Freelancer profile translated to English.
Back to original languageAbout Matis
I support companies in transforming complex business problems into high-impact AI solutions: time series forecasting, churn detection, segmentation, or classification. My cross-functional experience (energy, real estate, finance) and my ability to simplify complex topics make me an adaptable, curious, and unifying profile, combining communication and technical expertise.
French
Native or bilingual
English
Fluent
Arabic
Basic
Spanish
Basic
Can work on-site
Paris (up to 50km)
Experience
- EkwateurData Scientist - MLEngineerENERGY AND UTILITIESOctober 2024 - October 2025 (1 year)Paris, FranceMissions:- Industrialization of ML models through automation pipelines:• Energy consumption forecasting,• Forecasting the volume of calls received by customer service• Prediction of customers at risk of CHURN- Responding to the analysis and dashboard needs of various business unitsSkills:Machine & Deep Learning, Survival Analysis, Time Series, BigDataTools:Python (Pytorch, Scikit-Learn, Pandas)SQL, NoSQL, DBT,AWS (S3, SageMaker), AirflowDocker, Git
- Groupe Immobilier ANGELOTTIData AnalystREAL ESTATEOctober 2023 - September 2024 (11 months)34500 Béziers, FranceMissions:• Prediction of loan rejection rate• ETL (Extract, Transform, Load) process• Financial and commercial dashboardsSkills:Python (sklearn, tkinter), Web Crawler, Excel VBA, Dataviz
- UBA SénégalFinancial Analyst InternBANKING AND INSURANCEMay 2023 - June 2023 (1 month)Dakar, SenegalMissions:• Banking asset-liability management• Risk measurement• Financial model for forecasting banking resourcesSkills: Time series forecasting, Big Data, R
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Education
- Master in Mathematics and Computer Science MIASHSUniversity of Montpellier 32025PROJETS : ◦ Analyse Textuelle NLP : Clustering thématique, Analyse de sentiments, LSTM/GRU, BERT ◦ Reconnaissance de champignons : Computer vision, Fine-tuning, YOLO, ViT ◦ Application tableau de bord financier Prévisions et alertes financières (Streamlit, PySpark) ◦ Modèle de distribution d’espèces : Séries Temporelles Multi-Spectral, Rasters - Kaggle GeoLifeCLEF THEORIE : - Science des données : ◦ Classification supervisée et non supervisée ◦ Apprentissage profond ◦ Vision par ordinateur - Traitement et analyse de données : ◦ Massives ◦ Images ◦ Séquentielles (temporelles et textuelles) ◦ Spatiales - Statistique : ◦ Données multidimensionnelles ◦ Régression linéaire, logistique et poissonnienne ◦ Modèles à effets aléatoires - Optimisation : ◦ Programmation avancée et calcul parallèle ◦ Régularisation et explicabilité ◦ Interprétation et visualisationMathématiques
- Bachelor's degree in Mathematics, Statistics and Applications trackUniversity of Poitiers2023◦ Statistique descriptive et inférentielle ◦ Analyse statistique des données et des sondages, Probabilités ◦ Intégration, Formes quadratiques, Equations différentielles