Aspiring Data Analyst | Turning Data into Actionable Business Insights
I’m a Business Analytics student at the University of Nebraska–Lincoln with a minor in Computer Science, passionate about turning data into clear, actionable insights. Through projects in Power BI, Python, Excel, and SQL, I enjoy solving business problems, building visualizations, and creating tools that support smarter decision-making.
Currently seeking Business Analytics internship opportunities.
I am currently pursuing a Bachelor of Science in Business Administration with a major in Business Analytics and a minor in Computer Science at the University of Nebraska–Lincoln...
My goal is to build a career where I can combine analytical thinking, communication, and business understanding...
Business Analytics Major | Computer Science Minor
Expected Graduation: May 2027
I have developed strong communication, teamwork, and problem-solving skills through customer-facing roles in fast-paced environments.
Here are a few projects that reflect my growing skills in analytics, visualization, and business problem solving.
Developed an interactive Power BI dashboard analyzing sales performance, profit trends, and regional insights. Created dynamic visualizations and filters to support data-driven decision-making and improve user interaction.
Delivered insights to support data-driven business decisions.
Analyzed customer churn data using Python to identify patterns in customer retention. Explored churn rate, contract type, monthly charges, tenure, and payment method to understand why customers leave.
Key insights: Month-to-month customers churn the most, higher monthly charges increase churn, and customers with shorter tenure are more likely to leave.
Built a Python-based Apple Stock Analyzer using real-world stock data. The program calculates summary statistics, performs sorting using bubble sort and selection sort, supports date search and price filtering, and identifies the Top 5 highest closing prices using a heap.
Key features: data loading from CSV, algorithm-based sorting, search functionality, filtering, and efficient Top 5 analysis using a heap data structure.
Developed a linear programming model in Excel and used Solver to identify cost-effective decisions under business constraints. This project demonstrates data-driven decision-making using optimization techniques.
Key features: optimization modeling, constraint-based decision making, Excel analysis, and Solver-driven business problem solving.
A combination of technical skills, analytical tools, and professional strengths that I continue to grow through classwork and projects.