I have been utilizing R as a programming language since 2006, and it has been an integral part of both my research work and my position as a data lead at Vretta Inc. Over the years, I have developed a deep understanding of R's capabilities and have leveraged its power to perform various data analysis and statistical modeling tasks.

In my research work, I have utilized R to conduct data exploration, visualization, and statistical analysis. I have implemented a wide range of statistical techniques and algorithms using R packages, allowing me to derive meaningful insights and draw conclusions from complex datasets.

As a data scientist, I have been extensively involved in developing and maintaining data pipelines using R programming. This includes data extraction, transformation, and loading processes, as well as data cleaning and quality assurance. I have also utilized R to create automated workflows for data processing and analysis, improving efficiency and accuracy.

Furthermore, I have leveraged R's extensive library of packages for machine learning and predictive modeling. I have built and validated predictive models using techniques such as regression, decision trees, and random forests, contributing to data-driven decision-making within the organization.

In summary, my experience with R spans over many years, both in research and industry settings. I am proficient in using R for data analysis, statistical modeling, and developing data pipelines. My knowledge and expertise with R make me well-equipped to handle a wide range of data-related tasks and challenges.