My Projects
Real-Time FlexDashboard
Developed an interactive FlexDashboard that integrates real-time data from the News API and HR system. This tool empowers users to visualize news articles across multiple categories and analyze relevant trends, all in an intuitive, user-friendly interface.
Syllabus Chatbot using RAG
Created a chatbot using Python Flask and Retrieval-Augmented Generation (RAG) that helps students and faculty access syllabus details, assignments, and deadlines instantly. By automating responses to frequently asked questions, the chatbot enhances academic engagement and efficiency.
Shiny App for Assessment Visualization
Designed and implemented a Shiny app to enable students and instructors to visualize assessment data through interactive plots. Key features include box plots, assignment filtering, grade trends, and an additional dashboard to explore global economic indicators by country.
YouTube Data-Driven Insights
Leveraged YouTube performance data to derive actionable insights on engagement metrics such as views, likes, and watch time. The project helped optimize content strategy by identifying patterns and trends in user interaction and content performance.
Gesture-Based Communication System
Developed a real-time gesture recognition system using MATLAB and webcam technology to provide a communication solution for people with disabilities. The system converts hand gestures into text or voice, offering a new, inclusive method of interaction.
Visitor Log Application
Designed an Android-based visitor log application that integrates OTP authentication via Firebase. The app automates visitor registration, improves security by ensuring authenticated entry, and provides a streamlined way to manage visitor logs and access control.
Chatting Application
Built a web-based chat application using Java and HTML, enabling real-time communication with features like group chats, message notifications, and seamless user interface. The app is optimized for efficient message management and quick communication.
E-Commerce Data Mining
Applied unsupervised learning techniques to analyze e-commerce transaction data. By clustering purchasing patterns and customer behaviors, the project helped identify key market segments, enabling businesses to refine their marketing strategies and personalize customer experiences.
Online Book Store
Developed a fully functional online bookstore using HTML and CSS, featuring advanced search functionalities, user-friendly navigation, and a secure payment gateway. This project demonstrated my ability to design and implement e-commerce platforms with strong user interface and back-end security.
R Programming: Course Development in LMS
Created a series of interactive R programming quizzes and exercises for Brightspace, the university's learning management system. These quizzes cover a range of topics from basic syntax to advanced data analysis, providing immediate feedback and helping students strengthen their analytical skills.
MSQM Masters QA Testing
Performed comprehensive Quality Assurance (QA) testing for NYU's MSQM program, ensuring the reliability and smooth functionality of courses. By identifying and addressing issues early, I enhanced the overall user experience and ensured consistent delivery of high-quality online learning content.
Segregation of Duties with Oracle NetSuite
Implemented Segregation of Duties (SOD) controls within Oracle NetSuite to strengthen internal controls and minimize fraud risks. The project involved designing and configuring automated workflows to ensure that no single individual has conflicting responsibilities in financial operations.
H&M Operations Development
Developed real-time incident tracking systems for H&M's e-commerce operations using Splunk and Azure DevOps. This solution improved operational efficiency, enhanced incident response times, and provided detailed insights into system performance across various e-commerce brands.
Macy's Financial Forecast
Developed a financial forecasting model for Macy's using historical data and time series analysis. The model predicted key metrics like revenue, profits, and stock trends, helping the company make informed decisions for its future growth. Data visualization techniques were used to present these insights in an actionable and strategic format.