Freelancer profile translated to English.
Back to original languageAbout Samuel
I would like to leverage my skills and knowledge acquired during my master's degrees and professional experiences on various data science (or data analysis) topics.
The tools I particularly favor are R, Python, SAS, and of course SQL.
I am looking for challenging projects.
French
Native or bilingual
Can work on-site
Bordeaux (up to 30km)
Experience
- BNP ParibasData AnalystARCHITECTURE AND URBAN PLANNINGOctober 2022 - July 2023 (10 months)Paris, FranceContextBnp Paribas had to adapt to new working habits imposed by the Covid-19 pandemic by implementing remote work. Now, the company aims to reduce office spaces to achieve cost savings, while ensuring that employees have an optimal workspace adapted to their needs. It is therefore a matter of finding a balance between these two aspects so that employees can continue to work effectively while achieving savings for the company.My objectiveTo help optimize Bnp Paribas' spacesTasks performedChanges made to reporting- Analysis of the existing Python code- Improvement of Python code- Improvement of Tableau reporting- Work on data qualityCreation of documentation:- Creation of documentation for the Python code and its operation- Creation of documentation for Tableau reporting and its operation- Creation of a guide for reading Tableau reporting- Training employees on the use and reading of the reportingRoles performed- To be responsible for software development and the methodology used- Participate in and arbitrate technical discussions if necessary- Work as a Data Analyst- Prepare meeting minutes- Create documentation
- SaorIALead Data ScientistLOGISTICS AND SUPPLY CHAINMay 2022 - September 2022 (4 months)Paris, FranceContextSAORIA is a startup created in March 2022 that develops decision support tools allowing organizations to anticipate and measure the opportunities and threats of political-legal decisions. More specifically, 4 aspects are to be observed:JADE, the platform for personalized display of political-legal newsAKANE, descriptive analysis: it consists of analyzing the impact of political-legal news by sector, nature, and level on the company's activityOPALE, predictive analysis, technically uses descriptive analysis with a more advanced mathematical and IT process and models, allowing the analysis of the impact of weak signals.Finally, ÉON, the creation of recommendations through scenario proposals.My objectiveTo improve the relevance of the algorithm.Tasks performed- Understand and learn how text mining AI works- Analyze the work already carried out by the startup- Set future objectives- Distribute workload within the team- Improve the existing algorithm- Provide solutions for the different algorithms.Roles performed- Structure and coordinate project work.- Be responsible for software development and the methodology used- Participate in and arbitrate technical discussions if necessary
- BNP ParibasData ScientistBANKING AND INSURANCEMay 2021 - May 2022 (1 year)Paris, FranceContextBNP Paribas uses a pre-approval system for consumer credit (this allows determining the approval of a loan and its maximum monthly payment). The results generated led them to seek optimization of this system.My objectiveTo increase the number of pre-approved individuals while limiting the risk taken by BNP ParibasTasks performedList existing rules- Read various internal documentation- Create new, more concise documentationReproduce the pre-approval algorithm on SAS to test modifications- Code the algorithm in SAS based on the created documentationChallenge each eligibility rule one by one, for each rule:- Evaluate the potential gain if the rule is removed or modified- Evaluate the potential risk if the rule is removed or modified- Validation of rule removal or modification by a committeeChallenge the monthly payment calculation formula- Explore how to increase the average monthly payment- Evaluate the gain and risk taken with this new monthly paymentExamine the eligibility rate among the most attractive profilesRoles performed- Structure, plan, and coordinate project work.- Be responsible for data science and software development methodologies- Participate in and arbitrate technical discussions if necessary- Work as a Data Scientist.
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Education
- Master MIND (Mathematics of Information and Decision)Faculty of Science of Montpellier2020- Être capable d’extraire les données pertinentes - Réaliser le pré-traitement des données (nettoyage et mise en forme éventuels) - Mener l’analyse exploratoire des données en utilisant des outils de visualisation et de réduction de dimension. - Modéliser un problème : maîtriser les méthodes usuelles en science des données moderne et savoir proposer la/les méthode(s) adéquate(s) pour la résolution du problème posé, écrire un / plusieurs modèle(s) mathématique(s) adapté(s) au service de la problématique, et le(s) mettre sous forme idoine au traitement par les méthodes usuelles de la science des données moderne. - Mettre en œuvre la méthode d’un point de vue computationnel et être capable de proposer des stratégies de choix de modèles - Programmer efficacement dans au moins un langage (python, R) - Savoir analyser et interpréter les résultats, c'est-à-dire produire de la connaissance à partir de l'information extraite. - Relier la connaissance produite à la décision de sorte à éclairer et optimiser cette dernière. - Être capable de communiquer les résultats à l’écrit et à l’oral
- Master SIAD (Statistics for Information and Decision Support)IAE Montpellier2020- La gestion et l’analyse de données statistiques - L’extraction d’informations et de connaissances - La modélisation en environnement big data - L’algorithmique et l’intelligence artificielle - La maîtrise d’outils et de techniques d’aide à la décision - La gestion de projet en environnement risqué - La réalisation d’études de marché et de prévision...