Hire the Best Ggplot2 Specialists in Cairo, EG

If you're a researcher, data consultant, finance professional, or founder who needs to turn analysis into something people can actually use and interact with — I build that. I specialize in R Shiny, PyShiny, and Streamlit applications: interactive dashboards, automated reporting pipelines, and data-driven web apps tailored to your domain. Whether you need to share clinical outcomes with stakeholders, give your financial models a live interface, turn your research into an interactive tool, or ship an analytics product without hiring a full dev team — I've done exactly that. Over 3+ years I've helped: → Researchers & academics turn datasets and statistical models into shareable, interactive web apps → Healthcare & pharma consultants automate monthly reporting and build patient-facing dashboards → Finance professionals & fintech founders build portfolio trackers, financial model interfaces, and live market dashboards → Data-driven founders prototype and launch analytics products fast, without frontend complexity One client put it simply: "Ahmed walked me through every stage of the report production process and even explained what we might measure more to make business decisions easier." What I deliver: ☑ Custom R Shiny, PyShiny & Streamlit dashboards and web apps ☑ Financial model interfaces, portfolio trackers & market dashboards ☑ Automated reporting pipelines (R Markdown, Quarto, Python) ☑ Statistical and scientific data visualizations ☑ Internal analytics tools for teams and consultants ☑ Enterprise production apps SaaS Platforms ☑ Data pipeline design with SQL, Power Query & Python I work best on projects where the data is rich but the output needs to be clear, interactive, and built to last — not a one-time PDF or static spreadsheet. If that sounds like your project, send me a message with a brief description and I'll tell you exactly how I'd approach it.

"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.

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.

🌍 Climate Data Scientist | Meteorologist | Climatologist "Turning Climate Data into Actionable Insights" As a Data Scientist with a Master's in Meteorology and Climatology, I specialize in obtaining and transforming complex climate data into meaningful insights for businesses, researchers, and environmental stakeholders. My expertise includes: 📊 Advance Modeling & Machine Learning: Building predictive models tailored to climate and environmental data. 🌐 GIS and Geospatial Analysis: Skilled in tools like QGIS and handling NetCDF, CSV, geojson and other data formats. 🌧️ Climate Risk & Environmental Assessments: Expertise in flood prediction, wildfire risk modeling, and climate risk analysis. With a track record of delivering high-impact projects, I offer data-driven solutions to help clients make informed decisions based on climate and environmental data. Whether you need predictive modeling, geospatial analysis, or a climate risk assessment, I’m here to help. Let’s collaborate to transform your climate data into actionable insights.

With 13+ years of experience in GIS, geospatial data engineering, and spatial analytics, I help organizations transform complex geographic data into reliable, scalable, and actionable solutions. My expertise goes far beyond traditional GIS mapping. I specialize in building data pipelines, automating geospatial workflows, managing large spatial databases, and delivering high-quality datasets for business intelligence, analytics, and location-based applications. My core expertise includes: • Spatial Data Engineering & ETL * Python (Pandas, GeoPandas, Shapely) * PostGIS & PostgreSQL * SQL optimization and spatial queries * FME Flow automation * Data cleaning, validation, and transformation * GeoParquet and modern geospatial data formats • GIS & Spatial Analysis * ArcGIS Pro * ArcGIS Online * Esri Business Analyst * QGIS * JOSM / OpenStreetMap * Network analysis * Demographic and market analysis * Spatial statistics • Automation & Backend Processing * Python automation * Batch geoprocessing * REST API integration * Large-scale data processing * Report generation * Workflow optimization • Databases & Cloud Data * PostgreSQL/PostGIS * Spatial indexing * Query optimization * Data modeling * Feature engineering * Large geospatial datasets Throughout my career, I've worked with organizations ranging from startups to enterprise clients across telecommunications, education, mapping, and location intelligence. My projects have included demographic analysis, business intelligence, network planning, spatial ETL pipelines, OpenStreetMap data management, geospatial reporting, and enterprise GIS solutions. I focus on delivering solutions that are accurate, automated, maintainable, and scalable. Whether you need a one-time spatial analysis, a complex PostGIS solution, Python automation, or a complete geospatial data pipeline, I can help turn your data into meaningful insights. If you're looking for someone who understands both GIS and modern data engineering practices, let's discuss your project.