Business Analytics Student & Aspiring Real Estate Analyst
I am a senior at the University of Iowa studying Business Analytics and Information Systems, graduating in May 2026. My academic path has been driven by a passion for turning raw data into actionable business decisions.
My career interests sit at the intersection of data analytics and real estate. I am drawn to how supply chain dynamics, market forecasting, and operations management shape the housing industry, and I am eager to bring an analytical lens to those challenges at firms in Chicago, Boston, or Silicon Valley.
Outside the classroom I focus on building real, end-to-end projects that reflect the kind of work I want to do — cleaning messy datasets, applying predictive models, and communicating findings clearly to stakeholders.
Data analysis and manipulation with pandas, including data cleaning, transformation, and exploratory analysis.
Advanced spreadsheet modeling, pivot tables, and data summarization for business reporting and analysis.
Preparing raw datasets for analysis — handling missing values, merging sources, and structuring data for modeling.
Building visual data mining workflows for classification, clustering, and predictive modeling tasks.
Currently developing skills in data visualization and dashboard design to communicate analytical findings effectively.
Translating complex analytical results into clear, stakeholder-friendly insights and recommendations.
Analyzed a large movie dataset for a fictional streaming company to identify what factors drive viewer ratings. The project involved merging multiple data sources, cleaning and transforming the dataset, and building and comparing several predictive models.
Built and evaluated classification models using logistic regression and data mining workflows. Assessed model performance using a full suite of evaluation metrics to identify the strongest predictor configuration.