Innovative solutions at the intersection of data science, AI, and human behavior
Selected for LISC Massachusetts & IXL Center program to support small-business digital growth in wellness and mental health sectors.
Analyzed used/refurb device data to find price drivers and built a predictive model for dynamic pricing and profitability.
Measured the impact of a new landing page on subscription conversions and engagement. Assessed language-preference effects.
Python tool to compute GCD and Bézout coefficients with a generated PDF report of step-by-step calculations (ReportLab).
Deep learning pipeline in Python/TensorFlow for accurate face detection and recognition across images and real-time feeds.
Explored aggregator order data to uncover trends and provide operations recommendations with uni/bivariate analysis.
Classification model to forecast cancellations and inform policy design for refunds and overbooking.
Analyzed applicant data and built ensemble models to predict approvals and optimize applicant profiles.
Explored autonomous control in a game environment using PyAutoGUI, NumPy, and PIL to prototype self-driving behaviors.
Grouped stocks by attributes using clustering and profiled segments to surface portfolio patterns.
Tkinter desktop app with PvP and PvAI modes. Minimax AI ensures optimal play and challenging experience.
Implemented decryption using Index of Coincidence and χ² tests to infer key length and key; generates a polished PDF report.
I’m always open to discussing new projects, creative ideas, or opportunities to be part of your visions.
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