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I turn raw data into decisions that matter. Trained to see patterns others miss, I build machine learning systems that think ahead — forecasting what's coming, surfacing what's hidden, and turning complexity into clarity. Still learning. Already building. Ready for what's next.
I'm a B.Tech AI and Data Science student who has already built systems that predict solar output, flag attrition risk, and turn messy data into visuals people actually use — because I learn best by shipping real things on real datasets. Give me a question and a spreadsheet and I'll find the signal: predictive models, clean dashboards, and clear answers that non-technical teams can act on. What I'm really after is the next layer — AI that people trust and use daily, not just in demos. Always learning, always building, always asking what else the data can tell us.
Languages, tools, and platforms I work with every day.
Intelligent systems featuring ML pipelines, dashboards, and practical AI. Click any card to view the source on GitHub.
A predictive model for solar energy output trained on the NIT Puducherry dataset. Integrated with a real-time Grafana monitoring dashboard that compares predicted vs. actual output with time-series analytics.
An AI-powered workforce analytics platform that analyzes employee performance, satisfaction, and attrition risk. Machine learning models surface actionable HR insights through a modern React interface.
An image recognition pipeline built with Google Teachable Machine and Keras models. Delivers automated notifications via email and text-to-speech for prediction outputs, making it ideal for accessibility-focused use cases.
Internships, hackathons, and technical milestones shaping my journey.
Machine Learning & Computer Vision Foundations
Business Intelligence & Dashboard Design
Collaborative Innovation & Rapid Prototyping
NPTEL certifications, industry simulations, and specialized technical achievements.
Open to internship opportunities, collaborations, and project inquiries.
Feel free to send internship offers, project inquiries, or invitations.