Mohsen N.

"Mohsen was great to work with, very patient and explained everything very clearly, even if I was a complete beginner and didn't know what to ask. Highly recommend working with him if you need help with R or any statistical analysis!" Client feedback for the job "Co-occurrences of phrases". "Excellent statistician with a smart brain and skills to explain things easily - highly recommended." Client feedback for the job "Wilcoxon test in R". Learning or understanding the complex statistical concepts can be as simple as shown in the client feedback above. I have tutored many students in using R/Python/Minitab/Excel for doing many statistical tasks. I have designed several personalized lectures using R/Python/Minitab/Excel for Data Analysis, Data Visualization, Machine Learning, Statistical tests, Six Sigma projects, SPC charts, Spatial data analysis, and even microbiome data analysis. Then, through screen sharing, I have explained these lectures line by line. In addition, I gave many examples during these lectures to help my learners grasp these concepts easily and fully. I am the author of several books on Amazon focused on using R for healthcare, marketing, data analytics, microbiome, and statistics. I have also published 2 articles in a high-impact journal. Furthermore, I earned several certificates from top universities (Harvard, Johns Hopkins, Denmark,...) in Statistics, Data Analytics, Machine Learning, Data Visualization, Six Sigma, Microbiome Analysis using R, and R Shiny apps. Furthermore, I am a Pharmacist with a Master’s Degree in Microbiology and a Diploma in Industrial Pharmacy. Some examples of previous work: ​+ Estimating geographical pay differences between different cities using the LASSO regression model and presenting results in a Shiny app. + Estimating gender difference in annual pay using a linear regression model and presenting results in a Shiny app. + Predicting defense style questionnaire (DSQ) columns using linear, PCA, LASSO regression, decision trees, and Random forests. + Predicting Kinase inhibitor resistance for cancer treatment using different models, such as random forest, XGBoost, SVM, and stacked models. + Using Item Response Theory (IRT), Bayesian statistics, and Bayesian Knowledge Tracing to track student mastery of skills over time. + Graphically representing species distribution and richness from species distribution models. + Develop mixed models for long-term weight loss after bariatric surgery. + Preparing R and Python tutorials according to client needs. + Develop network meta-analysis using 2 R packages, netmeta and gemtc. + Prediction of active labor using Poisson and Logistic regression. + Predicting housing defaults using generalized linear models (GLMs). + Microbiome data analysis of 16S rRNA sequences for 64 samples from a diet experiment with mice. + Data analysis and presentation for sports performance. + Different Spatial data analysis, including geographically weighted regression (GWR) with support for mapping. + Different SPC charts. + Text and Sentiment Analysis.