A selection of projects spanning fintech, AI/ML research, UX design, and data analysis - each demonstrating my ability to connect user needs, business objectives, and technical feasibility
EY India – Live Financial Repository & App Prototypes
Enabled faster banking strategy decisions by building a live repository to track fintech, AI/ML, and API-banking trends. Mapped account journeys, evaluated developer portals, and prototyped internal apps to streamline workflows.
MBA Admissions Prediction Model (CMU – Practical Data Science)
Predicted MBA admissions outcomes with interpretable ML. Built logistic regression models, identified GMAT as the key driver through feature importance analysis, and provided explainable insights.
Generative AI Literacy Framework (Carnegie Mellon University)
Advanced global AI education policy by co-authoring a peer-reviewed framework. Led a PRISMA-based review of 300+ studies, designed reproducible workflows, and synthesized actionable strategies for educators and policymakers.
Global Economic Indicators Analysis (CMU – Practical Data Science)
Generated policy insights across 200+ countries by analyzing links between GDP, life expectancy, and social outcomes. Used data visualization to uncover correlations for decision-makers.
Computational Biology – Machine Learning Pipeline (RIT)
Improved protein site classification accuracy by building a scalable ML pipeline. Combined sequence and structure-based features, balanced datasets, and engineered bioinformatics features with publication potential.