Professional headshot of Bella Illingworth

Bella Illingworth

Business Analytics Student  |  Data & Product Insights

I build things with data — from mobile analytics pipelines and KPI dashboards to regression models and market analyses. Currently finishing my B.B.A. at the University of Iowa and looking for full-time Business Analyst roles starting May 2026.

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About

I am a Business Analytics and Information Systems student at The University of Iowa, graduating in May 2026 with a 3.70 GPA. My work spans full-stack development, data analytics, and product thinking — I care about turning raw data into decisions that actually get used.

Over the past few years I have built and shipped a cross-platform mobile application used by 3,000+ students, completed a Business Analyst internship with the Tippie Analytics Cooperative, and run an e-commerce business that reached customers in 29 countries. I am open to roles across industries, with a preference for positions in the United States or Europe.

Experience

Full-Stack App Developer

ICAN — Iowa College Access Network

Aug. 2025 – Present  ·  Remote
  • Designed and deployed a cross-platform mobile application serving 3,000+ students, expanding secure access to college and financial aid resources across Iowa.
  • Architected and managed backend databases using PostgreSQL and Supabase to support authentication, structured data storage, and real-time event logging.
  • Built analytics pipelines to collect, clean, and analyze student behavior data, enabling KPI tracking and feature adoption analysis for leadership decision-making.
  • Developed performance dashboards and reporting systems to monitor engagement metrics and inform product optimization strategies.
  • Managed end-to-end deployment to the Apple App Store and Google Play using Expo, with GitHub automation workflows that reduced release cycle time by 40%.

Business Analyst

Tippie Analytics Cooperative — Summer Internship

Jun. 2025 – Jul. 2025  ·  Iowa City, IA
  • Partnered with cross-functional stakeholders to design a student-focused mobile solution supporting 2,000+ prospective users in college planning.
  • Conducted platform evaluations and technical analysis to align capabilities with business objectives.
  • Translated business requirements into technical documentation, user stories, and implementation roadmaps.
  • Presented data insights and progress updates to executive stakeholders, bridging communication between technical and nontechnical teams.

Owner & Digital Product Designer

Etsy Poster Shop

Jul. 2021 – Aug. 2024  ·  Remote
  • Built and scaled an e-commerce business generating $30,000 in revenue across 2,500 orders with a 2% conversion rate from 121,000+ visits.
  • Analyzed shopper behavior and sales trends to improve pricing, SEO, and listing performance, capturing 176 repeat buyers across 1,428 cities and 29 countries.
  • Managed end-to-end operations including digital asset creation, A/B testing of thumbnails and titles, and performance tracking through seller analytics.

Skills

Programming & Analytics

  • Python
  • SQL
  • Excel
  • Power BI
  • Supabase
  • API Integration

Tools

  • GitHub
  • Expo
  • Microsoft Office

Analytics Methods

  • Data Modeling
  • Data Visualization
  • Statistical Analysis
  • Regression
  • Dashboard Development

Projects

ICAN Mobile App

Expo  ·  Supabase  ·  PostgreSQL  ·  Power BI

Cross-platform mobile application serving 3,000+ students across Iowa with secure access to college and financial aid resources. Built the backend on Supabase and PostgreSQL, developed analytics pipelines for student behavior data, and created KPI dashboards used by organizational leadership. Deployed to the Apple App Store and Google Play, with GitHub automation that cut release cycle time by 40%.

Real Estate Market Analysis

Python  ·  Pandas  ·  Jupyter Notebook

Cleaned and integrated multi-state housing datasets, performed exploratory data analysis, and built visualizations to identify pricing trends and regional market patterns. Produced a written summary of findings to support data-informed investment decision-making.

Movie Revenue Modeling

Orange  ·  Regression  ·  Correlation Analysis

Applied visual data mining workflows in Orange to analyze movie features and built regression models to predict box office revenue. Evaluated model performance using R-squared and error metrics, and presented results in a format accessible to a nontechnical audience.

Contact

I am open to full-time Business Analyst, product, and analytics roles starting May 2026 in the United States or Europe. Reach out by email or connect with me on LinkedIn.