Description

I'm a passionate expert in Econometrics, Data Science, and Statistics, with a solid reputation built on over eight years of experience. After brilliantly completing two years of preparatory classes in mathematics and obtaining two Master's degrees in Quantitative Analysis and Modeling, including a prestigious Research Master's in Statistics and econometrics, as well as an engineering degree in Statistics and Applied Economics, I now work as a Quantitative Expert and Data Scientist.

My expertise has enabled me to collaborate with various partners worldwide, making me a seasoned professional.

I have worked on several projects in statistical data analysis and econometric models. I, therefore, offer to make any econometric and statistic/Data Science project analysis with such professional rigor.

I help you in your modeling projects in Statistics / Econometrics and Data Science:

- Advanced Statistics and Machine Learning Modeling

- Bayesian econometrics

- Multivariate Time Series Analysis and Forecasting

- Statistical Methods in Econometrics

- Semi and Non-parametric Econometrics

- Modeling assistance (R / Python / Stata, ...)

- Micro & Macro-econometric Evaluation of Public Policies

I look forward to working with you.. :)

Languages

French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

MODIS FRANCE
Data Scientist Statisticien
RETAIL (LARGE RETAILERS)
June 2017 - November 2017 (5 months)
Paris, France
 Data cleaning
 Transformation et manipulation des données
 Mise en évidence des corrélations et extractions des éléments significatifs,
 Analyse du comportement & Détection des clients susceptibles de changer d’assureur.

Technos:
Python, R, SAS, Spark
Data science économétrie Statistics Machine learning Python
SUPERPROF
Coach in Econometrics, Statistics & Data Science
EDUCATION AND E-LEARNING
September 2014 - Today (11 years and 8 months)
- Coach and Teacher of econometrics, statistics, biostatistics, and programming (Python, R & Stata)
- Support for Masters/engineering/doctoral students and professionals in their modeling analysis projects.

Technical environment: Python/ R/ Notebook Jupyter/ Rstudio/ Rmarkdown
Python/ R/ Notebook Jupyter/ Rstudio/ Rmarkdown
Challenges en Data Science: Challenge Data ENS
Data Scientist
ENERGY AND UTILITIES
March 2017 - April 2017 (1 month)
Optimisation de la consommation d’énergie :

Développement des outils et des modèles statistiques efficaces afin de réduire la consommation et les dépenses énergétiques sans travaux de rénovation. Les modèles réalisés permettent à Oze Energies d’obtenir des procédures optimisées et réduire à la fois les coûts et les émissions de gaz à effet de serre.
Mission:
 Un feature engineering basé sur l'observation des données et le bon sens : Nettoyage et traitement de la base des données, création de nouvelles variables ,
 Détection des capteur en panne,
 L'utilisation des modèles et d'algorithmes performants : GLM, Gradient Boosting, Random Forrest,
 Le tuning de ces algorithmes en utilisant des méthodes automatisées (optimisation bayesienne)
 L'ensembling de plusieurs modèles afin de combiner leur capacité à capter de l'information.
Python R Data science