Freelancer profile translated to English.
Back to original languageAbout Moustapha
Senior Data Scientist with 12 years of experience in carrying out large-scale data visualization and data science projects for major groups. Expertise in DATA: Data analysis & processing, Implementation of activity steering dashboards, Machine Learning models, Script development, DATA team management. Also a trainer in Dataviz & Machine Learning.
English
Fluent
Arabic
Basic
French
Native or bilingual
Can work on-site
Ivry-sur-Seine (up to 50km)
Experience
- Group NOKIATECHNICAL LEAD MANAGER, DATA ENGINEER / DATA ANALYSTTELECOMMUNICATIONSMay 2021 - Today (5 years)Les Ulis, France*Tech lead of the DataDEV ASN teamImplementation & Skill development of the DataDev teamOrganization and coordination of the technical team on various projects (ASN Planning system, DPR Marine)*Refactoring of the planning system (Production Plant)Implementation of a data platform (Flat files, Application Exports...=> Database)Support for the business in identifying needs, Drafting technical specificationsIdentification of business processes related to data, Data mappingDevelopment of data processing scriptsPopulating and organizing the data warehouse (Datamart)Automation of planning calculation rules for the production plantImplementation of Dashboards(Production plant load management KPIs, tank management...)**Deployment of Dashboards on the Tableau server**, creation and management of user accessAutomation of data updates from the data warehouse& real-time dashboard updatesMaking planning scenarios available to planners (Decision support)*Architecture Committee ContributorParticipation in the architecture committeeProactive contribution to the framework of the new data platform
- VOLKSWAGEN GROUP FRANCESenior Data Scientist ConsultantAUTOMOBILEApril 2016 - January 2020 (3 years and 9 months)Roissy-en-France, FranceDashboard (After-Sales KPIs) & Data Visualization using TABLEAU SOFTWARE/SAS VA
- **Dashboard Creation**: KPIs (Revenue, Workshop Traffic, Average Basket, Repair Type...) for the Board, Market Managers, Headquarters: VW, AUDI, SEAT, SKODA, VU
*Dieselgate (NOx’s Emission)Monitoring of vehicles brought into compliance / Brands & Additional Revenue.Estimation of additional workload (RA Capacity Planning), Fleet compliance forecast.*Service Recommendation System(Mileage Estimation. Method: Deeplearning (RNP), Association Rules)Refine mileage estimation to forecast vehicle needs (Manufacturer Recommendation Matrix).Development of association rules (Cross-selling) from parts purchases to generate additional sales (Professional Clients).*Predictive Model Design & Monitoring(Segments II & III (Cars 4-10 years -> Method: Regression (Bagging)))Detect customers likely to be concerned by interventions such as: Maintenance, Brakes, Tires, Oil Change...Development of scorecards to optimize communication costs, Campaign evaluation (ROI)*Car Park Segmentation (Method: K-means & RFM)Creation of homogeneous vehicle groups based on their transactions to offer personalized marketing offers, self-configuration & Industrialization of segmentation*Repairer Bonus Calculation System – (Campaign: RA Parts Promotion MRA)Design & automation of bonus calculation rules to be paid to the RA network (Forecast).Measurement of the action's effectiveness & automatic delivery of results for each RA - Gan assurancesData ScientistBANKING AND INSURANCEJuly 2014 - February 2016 (1 year and 8 months)Courbevoie, France*Product Recommendation Engine Project Manager (Method: Logistic Regression, Decision Tree)Formalization of needs with the business (MOA), Workshop*Team Technical Lead (MOE)Methodological and technical supervision (2 Data Scientist consultants) (MOE)Audit of existing ML models (Recalibration, Backtesting & Optimization)Design of predictive churn (Attrition) and product propensity models: Auto - Life - 2-wheel - Home & Provident Insurance -> Push the best product to the customerAutomated calculation of model scores and injection into the IS & Adobe Campaign (SAS Batch)*DATAMART Project ManagerNeeds gathering (KPI Definition, Deliverable Format, Features), Project Estimation (Cost & Quote) (MOA), Workshop with the business, Drafting Functional Specifications (MOA)Development of SAS scripts & drafting of detailed Technical Specifications (MOE)Testing, Production deployment, Corrections, Maintenance (Production Monitoring) (MOE)Reporting of activity and claims KPIs by product (Auto, Home, Provident, Life)*Customer Segmentation – Maintenance & EvolutionFormation of customer segments based on value and potential & Delivery of segmented customer lists to the sales network
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Education
- Master 2 Econometrics and Applied Statistics (ESA)University of Orléans2010Machine Learning o Apprentissage supervisé : Régressions, Bagging, Arbre de décisions, Forêts aléatoires, Survival Analysis (Churn), TimeSeries (Forescast → ARIMA, VaR, Vecm), Financial econometrics (ARCH, GARCH, Value At Risk) o Apprentissage non supervisé : K-means,K-Nearest (Plus proche voisin) , CAH, Clustering Intelligence Artificielle o Deeplearning : NLP (Natural Langage Processing, Texmining, Analyse des sentiments…), DNN (Deep Neural Net.), CNN (Convolutional Neural Net. ,Traitements des images), LSTM (Long Short Term Memory). Data visualisation & Analyse des données o Moteur de recommendation : « Popular », Filtre collaboratif, « Content based » o KPI & Profiling : Analyse, ACP, ACM, Tests Statistiques paramétriques (Moyenne, Médiane …) et Non paramétriques Gestion des Bases de Données o DataQuality : Fiabilisation, contrôle de cohérence
- Bachelor's Degree in Economics and Management (L3)University of Le Havre2008Gestion stratégique : Analyse des stratégies d'entreprise, planification stratégique, et gestion des opportunités . Comptabilité avancée : Approfondissement des concepts de comptabilité, y compris la comptabilité analytique et les normes comptables internationales. Finance d'entreprise : Analyse financière, gestion des investissements, évaluation des performances financières, et financement des projets. Marketing : Études des stratégies marketing, comportement du consommateur, gestion de la marque, et marketing digital. Droit des affaires : Connaissances juridiques nécessaires à la gestion d'entreprise, y compris le droit des contrats, le droit commercial, et le droit du travail. Management : Théories et pratiques de gestion, leadership, gestion des équipes, et gestion de projet. Analyse économique : Étude des concepts économiques appliqués aux entreprises, y compris la microéconomie et la macroéconomie. Gestion des opérations : Gestion des processus de production, logistique, et optimisation des opérations. Informatique et systèmes d'information : Utilisation des outils informatiques pour la gestion des entreprises, systèmes d'information et technologies de l'information.
Certifications
- SAS BASE programming 9.2SAS2009
- Introduction to Python for datasciencewww.Datacamp.com2016