I bridge the gap between data and narrative — combining rigorous analytical training with a journalist's instinct for the story behind the numbers. My background spans data modeling, machine learning, and statistical inference, with a deep commitment to extracting clear, actionable insights from complex datasets.
Whether I'm building predictive models, designing data pipelines, or communicating findings to non-technical stakeholders, I bring both technical precision and clear communication to every project.
Semester-long project combining data engineering, predictive modeling, and business strategy — including dashboards and rigorous statistical and ML analyses.
View on GitHubSuite of notebooks exploring market trends, price forecasting, technical indicators, time-series models, feature engineering, and backtesting strategies.
View on GitHubClassification modeling using logistic regression, decision trees, and ensemble methods to predict diabetes outcomes in Pima Indian female patients. Focus on data cleaning and feature selection.
View on GitHubStatistical modeling and exploratory data analysis of property valuations and biological growth under varying conditions, using regression techniques and visualizations.
View on GitHubLarge-scale public health dataset analysis with morbidity/mortality trend visualization and user-experience testing for dashboard accessibility improvements.
View on GitHubPHP-based content generation tool automating blog creation with customizable parameters for tone, topic, and length.
View on GitHub