About Mohamed Anis
French
Native or bilingual
English
Conversational
Experience
- PrimeverDeputy Head of Data ScienceTRANSPORTATIONDecember 2023 - Today (2 years and 6 months)Agen, FranceAs Deputy Head of Data Science at PRIMEVER, I work closely with the Head of Data Science to oversee the department's projects, ensuring quality and relevance.My role includes coordinating teams, developing advanced analytical strategies, and implementing innovative solutions.
- OpenClassroomsDATA SCIENCE MENTOREDUCATION AND E-LEARNINGDecember 2021 - Today (4 years and 5 months)Brest, FranceAs a mentor on OpenClassrooms, I am responsible for guiding and encouraging students enrolled in data science, data analysis, and machine learning programs. My main role is to help them understand complex concepts, solve problems, and develop their professional skills.• Responsibilities:• Training students towards obtaining their diploma in the 3 programs: Data Scientist, Data Analyst, and Machine Learning Engineer• Solving problems and obstacles encountered by students in their journey• Contributing to the community by answering student questions and sharing my knowledge and expertise
- IMT AtlantiqueR&D DATA SCIENTISTEDUCATION AND E-LEARNINGSeptember 2021 - Today (4 years and 9 months)Brest, FranceMy role involves evolving LabNbook, a next-generation digital platform that allows high school and university students to collaboratively produce and manage scientific writing. The targeted improvements concern the design and implementation of a Learning Analytics tool, for visualizing indicators through activity dashboards. This will help teachers evaluate group work skills and make decisions about interventions.• Responsibilities:• Implementation of algorithms for designing collaboration indicators on text documents (NLP)• Creation of a neural network model for extracting mathematical formulas from text documents • Design and implementation of dashboards
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Education
- DOCTORAT EN STATISTIQUESUniversité de Rouen2019En tant que doctorant, j’ai consacré ma thèse à améliorer la mesure du risque en finance en travaillant sur des estimateurs de la matrice de covariance de type "Shrinkage" tels que ceux de Ledoit et Wolf et de Stein. Ces estimateurs sont applicables sur des méthodes de machine leaning comme la classification. • Missions : • Développer une solide compréhension des concepts clés en statistique et en apprentissage automatique • Travailler en collaboration avec d’autres membres de l’équipe de recherche pour améliorer les méthodologies et les algo- rithmes existants • Analyser de données complexes et présentation de résultats sous forme de publications scientifiques • Publication d’articles dans des revues avec comité de lecteur et participation à des conférences internationales
Certifications
- Data Sciences from A to ZUdemy2021