Project 15775600 has been deleted
“The worst person living on this earth took project and vanished!!”loladodalola 10ヶ月前
Project for El Aazzaoui M.
“I gave him 6 days to complete a small project, he told me he could even do it in less time. After 5 days I asked how it was, and he said that because an " emergency" he couldnt do. However, he had 5 days to tell me that, and because of this I wont be able to finish my project in time. He wasnt honest with me and he wasted my time.”mandaagf 10ヶ月前
K-means for 2D data and feed forward neural network
“Perfect freelancer”Guduri R. 11ヶ月前
Sensitivity Analysis and Model Diagnostics Using R
“He had dropped a lot of projects so I was not willing to give him this project but he kept requesting so I gave it to [login to view URL] finally ended up dropping it after the deadline was [login to view URL] no way you can trust him.”tutorialz 11ヶ月前
“Perfect Guy To Work With”malkhud2 11ヶ月前
Make a report
“The project is not completed according to the dispute”davecook379 11ヶ月前
State engineerOct 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 internshipFeb 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..
IntershipJan 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
Master degree2009 - 2014 (5 years)
R programming certification (2015)HCP
I have obtained this certification after taking a night course on the national institute of statistics and applied economics
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.).
US English Level 180%