Freelancer profile translated to English.
Back to original languageAbout Samuel
Passionate about data, I have had the opportunity to work on various topics and environments. I am able to meet your needs on your data science projects ranging from data ingestion to production.
- Extraction, transformation, and storage of your data
- Exploration, statistics, and data visualization
- Implementation and optimization of the most suitable machine learning algorithms for your needs
Coming from a background in Applied Mathematics and a specialization in a Master's in Data Sciences, I learned to think logically and efficiently about processing the problems I studied.
Perseverant and enthusiastic, I am eager to put my skills to work for your mission.
French
Native or bilingual
English
Fluent
Can work on-site
Paris 12e Arrondissement (up to 20km)
Experience
- Crédit Agricole SAData EngineerBANKING AND INSURANCEJuly 2023 - Today (2 years and 11 months)Implementation of a Data HUB for a major group project and automatic data visualization of stored data.- Gathering requirements from various stakeholders- Centralization of data from multiple sources- Creation and optimization of anomaly detection algorithms- Reproduction and improvement of existing indicators and dashboards
- EcovData ScientistTRANSPORTATIONFebruary 2022 - September 2022 (8 months)Paris, FranceWithin the Data team, providing internal support for other teams.- Extraction, transformation, feeding, and storage of data in a data warehouse- Creation of indicators and dashboards in Metabase- Exploration and improvement of a dynamic predictive model for predicting waiting times- Use of internal and public data to create road transport flows
- SIIData ScientistDIGITAL AND ITJune 2020 - October 2020 (5 months)Paris, FranceCreation of algorithms for a Chatbot intended for IT support to interact with the user to resolve their issues or automatically create a ticket with the information gathered during the conversation.- Language processing (NLP) on the history of tickets already processed by IT support- Deep Learning for ticket categorization across multiple levels of complexity (39 categories in total)- Latent Semantic Indexing (LSI) to find the most similar existing ticket to the user's queryProject managed in Agile mode in direct contact with the client.
Reviews
Kristy
bluenove
Reviewed on 9/16/2023
Samuel is very attentive, responsive, and quickly produces initial deliverables. He doesn't hesitate to make recommendations and suggestions for improvement.
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Education
- Master 2 Data Sciences: Health, Insurance, and FinanceUniversité Paris-Saclay2020