Joyash Atri

I’m an AI & Data Analyst Intern focused on turning real-world data into predictive insights and decision-ready analysis. At Xylofy AI, I built, trained, and evaluated machine learning models for predictive analytics, preprocessing datasets and communicating results through visualizations and reports.

I also care deeply about policy impact and evidence quality. I’ve engaged in World Bank Summit '26 discussions as a delegate and worked across research and competitions, including a policy-relevant analysis of how algorithmic personalization shapes consumer desire and behavior.

My projects reflect a blend of applied ML and rigorous research design: from an in-browser fraud detection simulator using TensorFlow.js (improving accuracy by 60% over a rule-based baseline) to an evidentiary research engine that validates sources before citing them, with a Python/FastAPI backend and React frontend. I’m excited by roles where AI and analytics directly support healthcare, governance, and practical real-world outcomes.