I’m a graduate student pursuing an MS in Information Systems at Lindner College of Business. I’m interested in data-driven analytics and using data to support better decisions. I’m actively expanding my skills toward cloud analytics and data science. I enjoy learning tools and methods that turn raw data into clear insights.
I’m currently pursuing my master’s degree in Information Systems at the Lindner College of Business. My coursework focuses on analytics, data management, and business intelligence foundations. I want to build strong skills in data wrangling, analysis, and communicating results. My goal is to apply these skills in real-world business problems.
I have experience working in a professional software engineering environment. That background helped me develop problem-solving skills and comfort working with technical systems and teams. I’m now shifting more toward analytics and data-focused work. I’m especially interested in roles that combine technical execution with business impact.
My experience with R is beginner to developing. I can work in RStudio, import datasets, and explore data frames using basic functions. I’m learning to clean, transform, and summarize data using reproducible workflows. My goal is to become confident writing analysis reports using R Markdown.
I use Excel and SQL in my day-to-day work for organizing data and querying tables for analysis. I also practice Python for problem-solving and automation to strengthen my analytical thinking. I regularly do DIY mini-projects to become more confident and learn different approaches to solving the same problem. I’m interested in building stronger skills in cloud platforms and BI tools to scale analytics and deliver clearer insights.
Here are a few links that are relevant to me: