Freelancer profile translated to English.
Back to original languageAbout Mohamed
After 3 years in operations research and applied mathematics, I worked for a software publisher dedicated to creating a SaaS solution to help sell new and used vehicles based on artificial intelligence and the use of multi-channel data. During my 5 years with this publisher, my role was on the one hand to contribute to R&D, good practices and management, and on the other hand to find and carry out service missions in AI for major players in the automotive industry (Emile Fray France Renault Group), in the Banking-Insurance sector (Euler Hermes, Boursorama, Carac) and in industry (Nexans, Alstom). The scope of my interventions on both aspects includes both the core data Science part (algorithmics-AI-POC) the data part in production (Data Engineering, ML Engineering, collaborative) but also the tech to market part (Understanding the business need, operational implementation and methodology). Chronologically, my responsibilities were operational during the initial phase (market fit phase) then managerial/leadership (development and industrialization phase) then decisional (scale up phase).
English
Fluent
Arabic
Native or bilingual
Can work on-site
Paris 1er Arrondissement (up to 50km), Paris (up to 100km), Marseille (up to 20km), Lyon (up to 20km), Lille (up to 20km)
Experience
- Blue DMEData ScientistSOFTWARE PUBLISHINGMarch 2015 - September 2019 (4 years and 7 months)Neuilly-sur-Seine, FranceNovember 2018 – September 2019: Chief Data ScientistIn a context of growth and questioning of working methods, I contributed to the creation and implementation of a new 5-year strategy.Achievements and responsibilities:• Member of the COMEX• Creation of the Data Science Roadmap Horizon 2021• Migration of models in production from dataiku to open source solutions• Supervision of the new Lead Data Scientist• Referent on data subjectsClient Projects: Renault Groupe, Emile Fray France, Nexans● October 2017 – October 2018: Lead Data ScientistIn a context of development and industrialization, I organized and set up the necessary resources in the data science part.Achievements and responsibilities:• Technical Lead• Recruitment of a team of 4 Data Scientists• Internal training• Awareness of Dev issues• Implementation of data development best practices• In charge of model production and monitoring• Development of CJ Booster to accelerate model production• Participation in inbound marketingClient Projects: Renault Groupe, Emile Fray France, Boursorama, Nexans● March 2015 – September 2017: Data ScientistIn a context of product creation and validation of value and business model on the market, I contributed to the construction of the first product building blocks.Achievements and responsibilities:• MVP Data Exchange (data exchange and enrichment market place):• Creation of the matching engine (bloom filter)• Creation of a relevance model of enrichment via a set of external data- Binary classification, random forest, XGBoost• Creation of the pricing engine• Back-end development (scala, spark, EMR, s3)• MVP Smart Selling (Virtual sales assistant augmented by AI):• Definition and creation of the first use cases• Specification of the data model• Creation of the first models: Scoring and reachability• Review and feedback on graphical interfaces• Implementation of ETL data flows (Web tracking to our ETL)Client Projects: Renault Groupe, Emile Fray France, Aramis Auto, Carac
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Education
- PhD (undefended)Université Paris Est2012
- Master Maths et applicationsUniversité Paris Est Marne La Vallée2011
Certifications
- Computer Vision and Image AnalysisMicrosoft2020
- DataikuDataiku2020