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@freeproject800
Flag of Morocco Errachidia, Morocco
Member since November 12, 2019
0 Recommendations

freeproject800

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Hi ; I have a Master degree in Data science , Finance and Economics with 10 years of professional experience . ** I also have a strong background in : - OpenCV - Maching Learning - Data Mining - Statistical Modelling - Time Series - Econometric Modeling - Survey Techniques & Statistical Design . - Optimisation (Formulation , AMPL , Excel Solver ......) - Excel-Access-VBA-SQL & Database - Microeconomics and Macroeconomics - Mathematics Software: - R Programming Language - SPSS - PYTHON - STATA /EViews Thanks Carle D .
$20 USD/hr
21 reviews
4.3
  • 100%Jobs Completed
  • 88%On Budget
  • 85%On Time
  • 4%Repeat Hire Rate

Portfolio Items

Recent Reviews

  • image of Kevin G. Project for Amine H. €30.00 EUR

    “Phenomenal work by this freelancer, was a pleasure to work with him and will be entrusting him with more and more projects down the line, already got 2 more signed up for him!”

  • image of Sean B. Project for Amine H. -- 2 £200.00 GBP

    “Amine had great patience with me and my many questions. And create a top-notch statistic report for me.”

  • image of Bruce M. Project 24356040 has been deleted $105.00 USD

    “Excellent to work with. They provided exceptional work and communication.”

  • image of Miguel P. Statistics assignment R studio €30.00 EUR

    “good work delivered, was on time, friendly”

  • image of Joanna S. Project for Amine H. -- 20/03/05 10:58:27 $50.00 USD

    “Mr. Amine is a genius man, he is creatively in R especially in time series and forecasting. I'm so lucky to work with him. He made my project so awesome, and he delivered it before the deadline. He is a trusty and honest man. I recommend anyone to deal with Mr. Amine Absulotly, I will come back to deal with him. Thanks a lot.”

  • image of Dey K. data analysis $30.00 USD

    “Work was good! I recommend him.”

Experience

Data scientist

Jan 2010

I am a senior DATA SCIENTIST consultant, my job description includes meeting clients, discussing problems with analyzing the data they face, trying to find solutions to these problems, then analyzing client data, and then interpreting the results of the analysis and drawing conclusions from the results of the analysis.