Ibrahim EL MOUSSAOUI
Junior Statistician Economist Data Scientist
*******.***************@*****.***
App N 3167 Imm 37 Rés Annahda, Hay ESSALAM, Agadir, Maroc Currently a laureate engineer from the National Institute of Statistics and Applied Economics (INSEA) in Morocco, option Statistics and Applied Economics. I would describe myself as a young person who is thirsty to learn new working methods, then my seriousness, my creativity and my will are my engine of success. FORMATIONS
2015-2019 Engineer in Statistics and Applied Economics, National Institute of Statistics and Applied Economics, Rabat, Morocco
2013-2015 Preparatory Classes for Engineering Schools, option MP, Center Med Réda Slaoui, Agadir, Morocco
2011-2013 Baccalaureate mathematic sciences, Center Abdellah Chefchaouni, Ouled Teima, Morocco PROFESSIONAL EXPERIENCES
Mars 2019 Data Scientist Statistician Economist, National Agency for the Fight against Illiteracy, Rabat. September 2019 Design of tools for modeling and analyzing success in literacy programs in Morocco:
> Modeling of quantitative variables.
> Data processing, segmentation and analysis.
> Processing and cleaning of the database.
> Implement data analysis techniques.
> Estimation and validation of the Model.
June 2018 Data Scientist Statistician Economist, MINISTRY OF ECONOMY AND FINANCE, Rabat, Morocco September 2018 Analysis and targeting of Morocco's exports and imports in 2016:
> Database processing (Reliability and validation with IT teams)
> Implement and deploy data visualization and communication tools
> Application of ACM, ACP and AFC methods
> Application of the DEA (Data Envelopment Analysis) method June 2017 Data Scientist Statistician Economist, High Commission for Planning, Agadir, Morocco August 2017 Development of a synthetic indicator for the Moroccan economy:
> Design, develop, implement and maintain databases.
> Design and implement data models, perform statistical analyzes and create predictive analysis models
> Development of a synthetic economic indicator for the Moroccan economy
> Prediction of the synthetic economic indicator for the coming quarters. SKILLS HIGHLIGHTS
Statistic Data Analysis, Time Series, Analysis of Variance, Machine Learning, Data mining, Text mining, Data Visualization.
Data Base SQL Server, Oracle, Power Querry, Google Analytics IT tools R Studio, Python, SAS, Vba Excel, Eviews, Stata, Power BI LANGUAGES
Français
Anglais
VBA-Excel Python Stata SQL Server Rstudio SAS Power BI VBA-Excel Stata Eviews Outils internes XLStat SQL Server SAS
SAS
VBA-Excel XLStat SQL Server