Transforming complex data into actionable insights that drive business decisions and growth. Specializing in predictive analytics, machine learning, and data visualization.
I'm a data analyst with 2+ years of experience turning raw data into clear, actionable insights that drive business decisions — from A/B testing algorithms to building automated ETL pipelines.
My background spans statistical analysis, data visualization, machine learning, and business intelligence. I've worked across banking, e-commerce, and marketing analytics, combining Python and SQL with tools like Tableau and Power BI to deliver dashboards and models that stick. I hold a BS in Entrepreneurship from the University of South Florida, giving me a foundation in both the technical and business sides of data work.
Advanced data analysis internship focusing on specialized analytics projects and banking industry applications
Sales and customer relationship management with data-driven approach to customer needs and market analysis
Intensive training program focused on data analytics fundamentals, tools, and real-world project applications
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All projects use open-source, non-proprietary datasets intended for public use.
A software company tested a mobile-first redesign of its help site. Using a two-sample Welch t-test on 3,365 satisfaction ratings, I found the redesign's lift was not statistically significant (p = 0.149) and recommended against deployment — preventing a rollout the data didn't support.
Evaluated a new video-serving algorithm against the incumbent across 3,611 users. After confirming sample size with a power analysis, a one-tailed two-proportion z-test showed a statistically significant lift in engaged watchers (p = 0.043) — supporting a full rollout.
Measured whether an e-commerce referral program across four European markets earned back its €10-per-user cost. Built a counterfactual revenue model over 14,329 users and 24,981 orders, proving referred users purchase 16.1% more often (p < 0.0001) and the campaign returned a positive ROI.
Information Systems analysis project examining exercise equipment organizational structure and operational efficiency through data visualization and systems optimization.
A simulated small-business scenario for Deja Brew Coffee, using analytics to guide day-to-day business decisions, marketplace analysis, and collaborative management toward data-driven outcomes.
Financial accounting project analyzing sales data and performance metrics for KAT Manufacturing, providing insights into revenue trends and business profitability.
Capstone strategic management project creating executive-level dashboards for data-driven decision making and business performance optimization.
A collection of Python programs and games — from an interactive Trivia Quiz and Hangman to a Caesar cipher and password generator. Each project reinforces the fundamentals of programming, such as logic, control flow, and data structures, that support stronger problem-solving and the ability to automate and build practical solutions.
I'm always interested in discussing new opportunities, collaborations, or data-driven projects. Feel free to reach out!