Hana Bidon is a data-driven researcher and analyst with 8 years of experience translating messy, real-world datasets into actionable insights across academia, finance, and healthcare. A Cornell Information Science graduate, she has led large-scale participant studies, cleaning and validating survey data and performing exploratory analysis and statistical testing in Python and R to reveal behavioral patterns. Her work ranges from building interactive dashboards in Tableau, Looker Studio, and Excel to automating HCI and game-analytics pipelines that processed tens of thousands of user actions. At Wells Fargo she combined technical changes with process improvements to boost system reliability and project speed, and in healthcare externships she analyzed telehealth utilization to guide access and policy decisions. Ethically minded and detail-focused, she has IRB experience and a background in accessibility testing with screen readers, an often-overlooked strength that informs more inclusive data practices. Based in West Haven, she pairs strong technical rigor with clear stakeholder communication to make complex analyses practical and persuasive.
8 years of coding experience
3 years of employment as a software developer
BS in Information Science, Systems, and Technology, Minor in Science and Technology Studies, BS in Information Science, Systems, and Technology, Minor in Science and Technology Studies at Cornell University
Engineering, Engineering at Engineering - Science University Magnet School
Certificate, Science Communication, Certificate, Science Communication at UC San Diego Extended Studies
Design a survey using Google Forms and decide what questions are important to ask. Collect data with an Excel Spreadsheet. Implement a clustering algorithm on Python to better match mentorship groups together based on academic interests of computing and non-academic interests.
Contributions:11 commits, 1 PR, 8 pushes in 1 year 4 months
Contributions:3 PRs, 126 pushes, 1 branch in 1 month
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Hana Bidon - Research Assistant at Cornell University