Freelancer profile translated to English.
Back to original languageAbout Lea
After five years of studies focused on statistics and big data, I decided to launch myself as a freelance data scientist, while also teaching courses as a part-time lecturer at the University of Paris.
I use R and Python daily, but I also know how to code in SAS, use real-time data platforms like Splunk, and distributed system architectures like Hadoop, Hive, Spark, etc.
Through my professional experiences, I have specialized in building/validating databases through web scraping (particularly address databases), as well as in automatic text data processing (survey analysis, classification, etc.). My last major mission involved supporting a company in its transition from SAS to Python (code translation and training workshops).
I am available for any further information.
French
Native or bilingual
English
Fluent
Can work on-site
Paris 13e Arrondissement (up to 30km)
Experience
- CNAFPython ConsultantPUBLIC SECTOROctober 2022 - Today (3 years and 10 months)Technical and pedagogical support in the transition from SAS to Azure Databricks. Translation of SAS programs to Pyspark and Python. Training workshop
- Iut Paris descartesPart-time LecturerEDUCATION AND E-LEARNINGJanuary 2022 - Today (4 years and 6 months)Paris, FranceTeaching "Econometrics" and "Non-parametric Statistical Test" courses to 2nd year students of DUT Statistics and Decision Support (STID).
- CNAF - Caisse Nationale des Allocations FamillialesData ScientistPUBLIC SECTORSeptember 2020 - Today (5 years and 10 months)Paris, FranceText mining and NLP analysis (R)Classification of SAS programs by Topic Modeling (R)Web scraping (Python) and address validation
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Education
- Master 2 Statistical, Economic and Financial Modeling (MoSEF)Panthéon Sorbonne University (Paris 1)2021Finance Quantitative, Gestion des risque, CRM Analytics, gestion de base de données multidimensionnelles, data mining et scoring, programmation Scala, Py Spark, visualisation de données (Tableau), Linux, Chatbot, Deep learning et CNN, NLP, machine learning
- Master 1 Econometrics and StatisticsPanthéon Sorbonne University (Paris 1)2020Econométrie avancée, sondage et analyse de données, économétrie appliquée aux modèles de santé, Web scrapping (Selenium), Microéconomie des modèles qualitatif, économétrie financière, économétrie des séries temporelles, produits dérivés et gestion des risques.
Certifications
- Azure Fundamentals - AZ900Microsoft2021