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@MEstats
Drapeau de Morocco Laayoune, Morocco
Membre depuis August, 2016
0 Recommendations

MEstats

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A data scientist with a proven working experience. I can do any statistical projects in the shortest of delays. I have developed a professional knowledge in: * Econometrics: Panel Data, Pooled Data, cross-section Data, Probit, Logit, Multinomial Logit, Linear regression (Simple, Multiple, logisitic, hierarchical, Poisson), non-linear regression, ... * Data Mining and machine learning: SVM, Factor analysis, Principal Component Analysis ... I master many statistical softawres: Python, R, SAS, SPSS, STATA, Rapid Miner, Eviews, Minitab, Matlab, StatCrunch and Ms excel. Looking forward to work with you. Thanks and Regards
$35 $ US / h
46 commentaires
4.9
  • 79%Travaux complétés
  • 94%Dans le budget
  • 92%À temps
  • 14%Taux de réembauche

Portfolio

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Expérience

State engineer

Oct 2014

Engineer in statistics, I have participated on many statistical conferences ( Sustainable Development Goals SDG) and have realized many surveys (Labor, living conditions survey, .. )

Graduation internship

Feb 2014 - Aug 2014 (6 months)

During this internship, I have elaborated a prospective mortality table for the regime. Have used many stochastic model such as Lee-Carter and its variants..

Intership

Jan 2013 - Jun 2013 (5 months)

During this internship, I have evaluated the impact of infrastructure investment on the economics using panel data and some deep statistics test and concepts

Éducation

Master degree

2009 - 2014 (5 years)

Certifications

R programming certification (2015)

HCP

I have obtained this certification after taking a night course on the national institute of statistics and applied economics

Publications

Determinants of wage

This publication aim was to identify the determinants of wages. In other words, we examined if the individual’s characteristics influence wage. More specifically, we want to test if there is a significant association between wage and individual’s characteristics (highest educational level, number of years of education, number of years of work experience, marital status, occupational status, gender and south.).

Certifications

  • French 1
    90%
  • US English Level 1
    80%

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