Freelancer profile translated to English.
Back to original languageAbout Franck
Currently Head of Data, specialist in data science, Deep Learning and Machine Learning, primarily around NLP. For this, I use the Scikit-Learn library for Machine Learning and Tensorflow for Deep-Learning.
I have had the opportunity to work on numerous projects, mainly using the Dataiku tool for data scientists and Amazon Web Services S3 Cloud (license up to date).
Specialized in the development of AI applications thanks to my "data scientist developer" certification, I also use technologies from the web development world such as Django, Bootstrap, HTML, CSS, as well as technologies used in the database world like SQL and No SQL languages, database containers like Docker, or even Amazon S3.
I also work with business units to deliver BI solutions such as Dashboarding for KPI monitoring, for which I work on Power BI and Tableau, or to carry out predictive (or non-predictive) analyses, which I perform using the Python language.
I have now been using the essential technologies for all data scientists and data analysts for almost 3 years.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 40km)
Experience
- Services publiquesHead of DataPUBLIC SECTORJuly 2023 - Today (2 years and 11 months)Implementation of projects and Data infrastructureDevelopment of recipes to finance major mobility and parking projects of tomorrowCentralization of multiple existing data flowsBI analyses and reporting for elected officialsResponsible for marketing policies
- Malakoff HumanisData Scientist / AI EngineerBANKING AND INSURANCENovember 2021 - Today (4 years and 7 months)Paris, FranceSpecialized in Data Science, Machine Learning and Deep Learning, I have had the pleasure of delivering various projects in different fields:AI: Creation of a predictive model for detecting conversations at risk of termination and/or dissatisfaction by analyzing advisor/client conversationsWork carried out on Dataiku, hosted on Amazon Web Services S3. For the model, I used the Scikit-Learn and Tensorflow libraries.BI: Creation of a KPI Power BI used by the entire customer relations department in analyzing their performance. Data analysis was done on Dataiku, hosted on Amazon Web Services S3.Cloud: Creation of an Amazon Web Services S3 bucket, allowing data to be processed via Dataiku and to feed all types of databases for the development of Deep/Learning and Machine Learning models.
- Wild Code SchoolData AnalystCONSULTING AND AUDITSMarch 2021 - November 2021 (8 months)Machine Learning: Creation of a Netflix-style movie recommendation algorithm,Deep-Learning: Creation of a habitable planet search algorithmBI: KPI monitoring dashboard on TableauDatabases: Management/Querying using SQL and No SQL languages
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Education
- Data ScientistWild Code School2022I.A : Machine Learning, Deep Learning (NLP, Computer Vision, Time series), transfert-Learning, utilisation de Tensorflow et Keras Big Data : requêtes Spark, RestAPI, Docker Certification RGPD Datavisualisation, business intelligence (Matplotlib, Power Bi, Tableau ..)
- Data AnalystWild Code School2021Analyse Bi via Power Bi et Tableau Machine Learning : - Régressions (linear, multivariate) - Classifications (Trees, KNN, Logistic regressions - Clustering non supervisé (Kmeans) - Réduction de dimension (PCA) - Indicateur de performance et metrics - NLP traitement du langage naturel - Feature engineering
Certifications
- AI DeveloperWild Code School2022