Multivariate Analysis Project

Hello, I am Isac and I have extensive knowledge of statistics as I worked as a statistician for a multinational company for 4 years. I also have experience in academic research with applied statistics Relevant Skills and Experience I'm a graduate in Psychology. I have finished a Masters degree in Clinical Psychology and I've done a gap year in the UK where I helped teach French to students, this is to attest my level of English. Proposed Milestones $30 USD - final delivery

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About me: Graduated from statistic department in faculty of economic & politic science, Cairo University. Sub-specialized in social science computing Cum. Grade: Good Graduation project grade: Excellent. How can I help you? I have a high scale of experience in statistics analysis and report writing and I can help you in: Regression Analysis: multiple,simple, linear or non-linear Time series Analysis Experimental Designs Factorial analysis : explanatory factorial analysis (EFA) or confirmatory factorial analysis (CFA) SEM Modeles: confirmatory factor analysis, path analysis, partial least squares path modeling, and latent squair modeling. Statistical Modelling of data ANOVA & MANOVA Tables Descriptive Statistics hypothesis testing and t tests & Chi-square test Panel Data Modelling Principle component analysis What packages can I use? I am familiar to do statistical analysis using SPSS, MATLAB, R, STATA and Minitab What My work include? A report with all the results obtained Nice interpretation of the tables, graphs & tests Describing statistical methods I used.  looking forward to here from you soon

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Hey I have been working on statistical modeling for quite some time now and have in depth knowledge of how various models and algos work. I understand businesses very well. I am also a Mensa member Relevant Skills and Experience Sales prediction model Recommendation engine Gender predictors Have worked on all kind of ML algos as well

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Hi I am experienced in python and R programming for multivariate analytics using linear and Logistic Regression. Also know neural networks to some extent.