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.

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.

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

I help clinical researchers, healthcare organizations, and biotech teams analyze clinical, real-world, and genomic data using R and biostatistics. I deliver reproducible analyses, predictive models, clear interpretations, and publication-ready results. I hold a Bachelor’s degree in Oral and Dental Medicine and have professional experience in healthcare analytics and clinical research. This combination helps me understand both the clinical question and the data behind it. I work primarily in R and SQL across clinical research, longitudinal data, Medicare/CMS claims, EHR/EMR data, and public genomic datasets such as TCGA and GEO. MY CORE SERVICES Clinical Biostatistics • Descriptive and inferential statistics • Linear and logistic regression • Survival analysis, Kaplan-Meier estimation, and Cox regression • Mixed-effects models and longitudinal analysis • Propensity-score methods Healthcare and Real-World Data Analytics • Claims, provider, and EHR/EMR analysis • Data cleaning, integration, and quality checks • Geographic, demographic, and socioeconomic analysis • Reproducible workflows using R, SQL, and APIs Predictive Modeling in R • Regression and classification • LASSO and random forests • Feature development and model validation • Clear interpretation of model results and limitations Bioinformatics and Genomic Analysis • Downstream analysis of processed TCGA and GEO data • Gene-expression and biomarker analysis • Survival and pathway-level analysis • Publication-quality visualizations Reporting and Visualization • Reproducible and documented R code • Statistical tables and publication-ready figures • Visualizations using ggplot2 • Power BI and R Shiny dashboards • Technical reports and decision-ready summaries I provide clearly scoped, reproducible analytical work with transparent methods, assumptions, and limitations. If you need reliable statistical support for a clinical, healthcare, or biomedical research project, please feel free to contact me.

Medical student with expertise in biostatistics. I think data, communicate evidence, and save lives. Flavoring R-powered biostatistics with medical background is my secret sauce. With 2+ years of vigorous and broad-spectrum independent practice, I rather say that I talk to the data, not just analyze it. Primary clinical research is my sub-specialty. Put aside my determination to advance my skills, my top skill is developing methods in R to flexibly and efficiently perform recurrently required tasks.