I am BSc. graduate with high expertise in statistics. I perform statistical data analysis using R programming, from basic descriptive statistics to advanced modeling techniques. My day to day activities include computing means, medians, standard deviations, correlations, regressions, ANOVA, t-tests, and much more. I perform these analyses to my clients understand relationships within the data and make informed decisions. I always clean, filter, reshape, and aggregate data to prepare it for analysis. This ensures that the data is in the right format and structure for accurate statistical insights. I use various Rstudio libraries (such as ggplot2) that enable me to create visually appealing and informative plots, graphs, and charts. These visuals help convey complex statistical information to non-technical stakeholders. I also share my R scripts to my clients, whereby they can be able to document analysis steps in code, making it easier for them to understand and replicate my work. This is crucial for maintaining transparency and consistency in my analyses. I have the ability to integrate R with other programming languages and tools, which allows me to incorporate statistical analyses into larger workflows or applications. This is particularly beneficial when I want to create interactive data dashboards. I also generate customizable reports, presentations, and documents directly from the analysis code. This streamlines the process of sharing results with stakeholders and creating documentation.