Data Analytics Intern
Customer segmentation and behavior analysis producing strategic recommendations for retail optimization.
I craft intelligent software — combining machine learning, data analytics and modern web engineering into products that feel effortless.

I'm a passionate engineer who lives at the intersection of AI, data and product. From training neural networks to shipping polished React interfaces, I care about details — how something loads, how it feels, how it scales.
When I'm not coding, I'm solving coding problems (650+ solved), exploring new ML papers, or reverse-engineering great product experiences.
Customer segmentation and behavior analysis producing strategic recommendations for retail optimization.
Built responsive React interfaces, integrated REST APIs and improved perceived performance across product surfaces.
Delivered exploratory analysis and predictive models with Python, Pandas & Scikit-learn for real-world use cases.
REST API integration, Kafka event streaming and backend services in a simulated production environment.
Real systems, real users, real impact — filter by category and dive into the details.
End-to-end ML + NLP system identifying fraudulent news with 85% accuracy.
DataFull-stack analytics processing thousands of daily events with D3.js visualizations.
Computer VisionReal-time YOLOv8 detection at 20 FPS on standard hardware with TensorRT.
Unsupervised ML segmenting retail customers to unlock strategic marketing.
Full-stack MERN helpdesk with authentication, ticketing and role-based dashboards.
The stack I reach for to build modern, scalable, intelligent software.
Continuous learning across AI, engineering, data and problem solving.
I'm currently looking for new opportunities and collaborations. Whether you have a question or just want to say hi, I'll try my best to get back to you!