Data Scientist with R programming

Build and apply data science solutions using R and modern data science tooling. Work with RStudio and tidyverse for data manipulation, statistical analysis, and visualization, and use machine learning methods such as caret, randomForest, and xgboost. Create dashboards and visualizations with ggplot2 and Shiny, collaborating in Agile/Scrum delivery. Leverage Databricks, data pipelines, and Git for version control.