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Hi I am a very experienced statistician and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several companies and have done projects involving high level quantitative analysis and data interpretation skills to study the trends, time behaviour and compare the variables in the data. I can do advanced level analysis in SPSS, R, WEKA and excel tools like machine learning, hypothesis testing, forecasting, T-test, ANOVA etc. Looking forward to discussion, Best Regards, Suyash

Hello, I would like to assist you with this project. I am knowledgeable and experienced in SPSS. In addition to having a training background in statistics, I have a five-year experience doing quantitative data analysis using SPSS. You can be certain that I will complete a high-quality report within the deadline. I will be grateful if you contact me to discuss this project a little.

scientist / Assistant Professor, M.Sc. Biochemistry o Educator (Univ. of Maryland) - taught US military personnel o Bioinformatics o Data mining of large datasets in the biomedical field and in commercial settings o Scientific and medical writing; research and editing work for technical writeups / thesis / dissertations o SPSS and R, Weka, Knime etc. - data analysis and visualization software I will NOT:

Hi. we are a team of 3 Statisticians. One of us, Federico Torretta is a PhD in Statistics, Applied Statistics and Quantitative Finance. Below you find a list of some publications to prove our experience (check on our profile for a global overview). • P-spline quantile regression with a mixed model algorithm. Federico Torretta, Vito M.R. Muggeo, Paul H.C. Eilers. Proceedings 30th International Workshop on Statistical Modelling, Linz 2015. • Growth curves of sorghum roots via quantile regression with P-Splines. Alessio Pollice, Vito M.R. Muggeo, Federico Torretta, Rocco Bochicchio and Mariana Amato. 47th Scientific Meeting of the Italian Statistical Society, Cagliari 2014. • Penn classification in acute aortic dissection patients. C Pisano, CR Balistreri, F Torretta, V Capuccio, A Allegra , V Argano, G Ruvolo. Acta Cardiologica, 2016; 71(2), 235-240 DOI: 10.2143/AC.71.2.3141855 We have a good background in every direction which involves Statistics. We know SPSS, R, RStudio, STATA and SAS statistical software You can find us on Upwork as Simona Buscemi. We'll be glad to work for and with you. Thank you for your time. Kind Regards, Federico,Simona, Veronica VFS team