Freelancer profile translated to English.
Back to original languageAbout Adate
Doctorate in Applied Mathematics with over 12 years of experience in R&D data science, I design Machine Learning, Deep Learning, and other AI tools based on non-parametric Bayesian statistics, stochastic differential equations (SDEs), stochastic optimization algorithms, as well as Heuristics and Metaheuristics to analyze, optimize, and predict complex phenomena (noisy time series, financial volatility, turbulence, etc.) and solve problems in planning, scheduling, and natural language processing (NLP).
What I offer:
• Stochastic time series modeling (energy, quantitative finance, physical systems, etc.)
. Development of AI modules
• Development of Bayesian models for prediction in uncertain environments (PyMC, NumPyro…)
• Technical audit of predictive models (interpretability, uncertainty, robustness)
• Implementation of advanced data science workflows (Python, MCMC, variational inference)
• Assistance with scientific writing or technical popularization (conferences, reports, etc.)
French
Native or bilingual
English
Fluent
German
Basic
Can work on-site
Paris (up to 30km), Orléans (up to 30km)
Experience
- DATAPOLE,Data Scientist, R&D ManagerSOFTWARE PUBLISHINGJanuary 2012 - January 2025 (13 years)Paris, France○ Monitoring of R&D projects, collaboration with research organizations.○ Responsible for the design and development of AI modules.○ Design, implementation, and maintenance of a processing chain composed of several modules including:• a module for data extraction, processing, and integration using an internally developed ETL• a modeling and forecasting module based on Machine Learning models (GAM, GAMLSS, XGboost, random forests, Multilayer Perceptron Neural Networks, LSTM networks)• a module for testing and deploying Machine Learning models using Plumber, Docker, and GitLab tools○ Use of Machine Learning and Deep Learning models (Naive Bayes, Logistic Regression, LDA, and Neural Networks) for sentiment analysis and document classification in Natural Language Processing (NLP) projects.○ Implementation of stochastic optimization algorithms, Heuristics, and Metaheuristics to solve planning and scheduling problems. Testing and validation of the choice of optimization algorithms, Writing operational constraints in Groovy for the DROOLS rules engine.○ Development of a tool for automating data analysis and simulation processes.○ Development of visualization tools using R's ggplot2 and Shiny packages; Python's Matplotlib and Seaborn.○ Testing and integration of developed tools and processes.○ Writing functional and technical specifications for proposed solutions.○ Mentoring Data Science interns.○ Publication of articles popularizing Artificial Intelligence concepts and applications.○ Technological watch
- INRA (Institut National de Recherche Agronomique)Expert Statistician EngineerRESEARCHJanuary 2008 - January 2009 (1 year)Paris, France○ Establishment of experimental designs and development of data collection protocols.○ Extraction, preprocessing, statistical analysis of biology data using SAS and R.○ Collection and cleaning of genomic data obtained by Mass Spectrometry.○ Use of statistical models to identify and characterize frequent patterns in spectra.
- France Telecom Recherche et Développement,Statistical Study OfficerJanuary 2002 - January 2003 (1 year)Paris, FranceProject: Study of user behavior on a company intranet site.○ Collection of site connection logs, transformation and enrichment of data by cross-referencing with other data sources.○ Identification and characterization of site user groups using multivariate statistics, Data mining, and Text mining methods.
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Education
- Doctorat en Mathématiques AppliquéesUniversité Paris IX-Dauphine2008Doctorat en Mathématiques Appliquées
- DEA de Mathématiques - InformatiqueUniversité de Versailles2002DEA de Mathématiques - Informatique