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. Through projects in Power BI, Python, Excel, SQL, and R, I turn complex data into clear business insights that support better decisions.
Currently seeking Summer 2027 internships in data analytics, business analytics, and supply chain.
I am 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 combine analytical thinking, communication, and business knowledge to solve practical problems. My coursework and projects have strengthened my ability to clean data, identify trends, build dashboards, and explain results clearly.
Business Analytics Major | Computer Science Minor
Expected Graduation: December 2027
I combine leadership and customer service experience with analytical problem-solving, communication, and teamwork.
Here are a few projects that reflect my growing skills in analytics, visualization, and business problem solving.
Analyzed more than 5,000 sales records from 2022–2025 to evaluate revenue, profit, and regional performance across multiple time periods and business segments.
Built an interactive Power BI dashboard with filters and visual comparisons that translated sales patterns into clear business insights.
Analyzed contract type, tenure, monthly charges, and customer behavior in Python to identify churn patterns and segment customers into higher-risk retention groups.
Translated the findings into targeted recommendations focused on reducing customer loss and improving retention strategy.
Cleaned and standardized store datasets in R using 1.5Ă— IQR outlier detection, unit conversion, sorting, validation, and CSV transformation to improve data consistency.
Translated mathematical formulas into reproducible R code for repeatable analytical processing.
Built two linear programming scenarios in Excel to maximize profit while accounting for labor, material, demand, and production constraints.
Evaluated feasible corner points and resource boundaries to determine optimal production quantities and identify the highest-profit allocation.
A combination of technical skills, analytical tools, and professional strengths that I continue to grow through classwork and projects.