Joshua Jose Fabiaña

At Maybank Philippines, I supported Risk Management by verifying datasets, building Excel tables and charts, and contributing to annual risk assessment reporting.

I used correlation tests, chi-square tests, and outlier detection to identify patterns across company sectors and subsectors. I also developed and presented a hybrid machine learning proposal to automate data processing and analytical outputs for the OCISO subsector.

As project lead, I analyzed Spotify streaming data and Valorant player metrics using Python, data preprocessing, exploratory analysis, statistical testing, regression, and anomaly detection. I led teams in finding trends, assessing consistency, and building models to predict playlist outcomes.

My mathematics background also includes research on quantum walks and spectral analysis, alongside full-stack development work with Node.js, Express, MongoDB, and Handlebars. I'm ready to apply analytical thinking and practical data skills to meaningful business problems.