I'm an aspiring Data Science student with hands-on experience in machine learning, deep learning, and data analysis.
Skilled in building predictive models, performing exploratory data analysis, feature engineering, and deploying ML systems using Python.
Passionate about solving large-scale, data-driven problems with cutting-edge technology.
Built an LLM-based trip planner that converts natural language input into structured travel itineraries.
Implemented agent reasoning using LangChain with a FastAPI backend for real-time responses.
Developed a Streamlit frontend and deployed the backend API on Render.
Developed a real-time face emotion detection system using a custom CNN built with TensorFlow and OpenCV.
Achieved 85% classification accuracy across 7 emotion categories.
Engineered the model with convolutional, max-pooling, and dense layers for optimized feature extraction.
Built a CNN-based image classifier to distinguish between multiple fruit and vegetable categories.
Preprocessed image dataset with augmentation techniques to improve model generalization.
Achieved high accuracy by fine-tuning convolutional, pooling, and dense layers.
Designed a Node.js backend with JWT-based role authentication for managing restaurant tables and reservations.
Integrated features like peak-hour pricing, waitlist logic, and special requests.
Built secure REST APIs following MVC architecture and clean code practices.
I'm always open to discussing new projects and opportunities
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