Hire the Best R Developers & Programmers
in Egypt

Dealing with data from scratch, analyzing it statistically with data science tools to interpreting its results with reports and visualizations. Teaching Assistant at University with a bachelor's degree in statistics, just finished my pre-master’s in statistics, am very passionate about data and data science, Works with all statistical analysis techniques and software. •Expert in R, STATA, SPSS, and Python. •Full statistical project management.

"Excellent statistician with a smart brain and skills to explain things easily - highly recommended." Client feedback for the job "Wilcoxon test in R". "Mohsen is a professional freelancer with great communication skills, working with him was an absolute pleasure.. Highly recommended" Client feedback for the job "Customer attrition prediction model". "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". 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.

Hello! I am experienced in Microsoft Excel spreadsheets for more than 10 years, doing all types of functions, formulas, formatting, analysis and graphing. Also, I am R Programming certified from Coursera and earned a professional certificate from Michigan based center for Basics of Machine Learning using Python. Thus, I can do Data Science and Wrangling work on both Python & R languages Moreover, I am proficient in using advanced Excel Analytics (Power Pivot, Power Query, Data Modelling) and Microsoft Power BI for visualization, dashboards and DAX. Moreover, I can create dashboards using Google Data Studio Finally, I can do Statsitics in any of R, Python or Excel.

PhD Researcher & Hospital Research Associate. I specialize in advanced Biostatistics, Medical Data Analysis, and Systematic Reviews. Unlike general data analysts, I am an active academic researcher. I understand the pressure of publication standards, strict methodologies (ROB 2, ROBINS-I), and the need for flawless code. I can help you with: Statistical Analysis: R, Python, SPSS, and STATA. Code Debugging: Fixing errors in your R or Python scripts immediately. Data Visualization: Creating publication-ready plots (Forest plots, Ggplot2). Methodology Review: Checking your sample size and study design before you submit. I am here to provide high-level, accurate research support. Let's get your data ready for publication.

Bioinformatician and Data Scientist with expertise in multi-omics data analysis, bioinformatics pipeline development, and data science applications in cancer research and microbial ecology. Proficient in R, Python, and Linux-based systems, with experience in RNA-Seq, mutation analysis, and deep learning models for synthetic data generation. Key Skills: - Multi-omics data preprocessing, normalization, and visualization. - RNA-Seq differential expression and pathway analysis. - Chimeric sequence detection in 16S/18S rRNA genes. - Machine learning: supervised and unsupervised learning. - Strong expertise in R, Bioconductor, and Docker. - Familiarity with Shiny R and proteomics workflows. Highlights: - Developed workflows for cancer datasets using TCGA. - Benchmarked tools to improve microbial data reliability. - Enthusiastic about deep learning and generative AI for bioinformatics.

Many bioinformatics and neuroscience researchers have valuable data locked away in messy CSV files or complex scripts that only one person knows how to run. I build interactive dashboards in R Shiny and Python Streamlit that turn that data into a point-and-click tool for your entire lab or team. You send me your dataset, and I deliver a functional, documented application. Recent work includes: - fMRI data analysis for ASD and schizophrenia detection leading to two publications (JAC-ECC 2025) - A KEGG metabolic network dashboard that achieved 18th place globally in the SAS Curiosity Cup 2025 - Contributions to the CanvasXpress R package and the SpatialPortal Shiny application Technical approach: - R Shiny and Python Streamlit for custom dashboard development - Machine learning models for fMRI classification (87% accuracy on ASD detection) - Python automation for data pipelines and reporting