My Portfolio
A collection of my work across various domains, demonstrating my skills and experience in data science, machine learning, and software development.
Developed a machine learning algorithm using Python and PyTorch to detect various aircraft models with 92% accuracy. Collaborated with product managers and data scientists to design and implement this solution during my internship at Stratom Inc.
A full-stack web application for personal finance management. Features include transaction tracking, spending category analysis, data visualization, and financial report generation with secure database integration.
An Android application designed to help users maintain optimal hydration. Features customizable water intake goals, reminders, and visual progress tracking with local SQLite database integration.
Designed and developed this responsive portfolio website from scratch using modern web technologies. Implemented custom filtering for skills and projects, responsive design, and contact form functionality.
Developed a lightweight shell environment in Bash that provides command-line interface functionality. Features include command execution, piping, redirection, environment variable management, and custom command aliases.
Implemented a real-time object detection system using TensorFlow.js and COCO-SSD model. The browser-based application identifies and labels objects in video streams with bounding boxes.
Created an interactive dashboard for visualizing and analyzing complex datasets. Features include dynamic filtering, multiple visualization types, and export functionality for business intelligence reporting.
Developed a comprehensive automated testing framework for ensuring software quality. Implemented unit tests, integration tests, and end-to-end tests with detailed reporting and CI/CD integration.