Islam A.

I help researchers and organizations make sense of their data, from cleaning and statistical analysis to dashboards and clear written findings. I work mainly with R, SQL, and Power BI, producing analyses that can be checked, reproduced, and used beyond the initial report. My completed projects include regression and data visualization, survey analysis, research methodology, correspondence analysis, and ecological data analysis. Healthcare and biomedical research are particular strengths. I hold a Bachelor’s degree in Oral and Dental Medicine, which helps me connect clinical questions with the underlying data. Some clients need an analysis built from scratch. Others have existing code, results, or a report and want someone to check whether the methods and conclusions hold up. I’m comfortable with both. Statistical analysis and research • Descriptive statistics and hypothesis testing • Linear and logistic regression • Survival analysis, Kaplan–Meier curves, and Cox models • Mixed-effects models and longitudinal analysis • Survey analysis, assumption checks, and sensitivity analyses • Publication-ready tables, figures, and methods summaries Dashboards and reporting • Power BI dashboards, data models, and DAX measures • KPI reporting and peer comparisons • R Shiny dashboards and ggplot2 visualizations • Reports for researchers, managers, and executive teams Data preparation and quality checks • Cleaning, combining, and validating datasets • Investigating missing values, duplicates, and inconsistencies • Reproducible workflows using R, SQL, and APIs • Documenting decisions so the work is easy to follow and update Healthcare analytics and bioinformatics • Claims, provider, and EHR/EMR data analysis • Downstream analysis of processed TCGA and GEO datasets • Gene-expression and biomarker analysis • Survival and pathway-level analysis • Scientific figures and interpretation of findings I explain what the results mean, what they don’t establish, and anything that needs further investigation. You’ll receive organized files, documented code where applicable, and findings you can understand and discuss—not just a folder of statistical output.