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Developed a virtual university tour enabling users to explore the campus and building interiors virtually.
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Built using Python Flask cannot be showcased on Git-pages
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Developed an encrypted end-to-end instant messaging web application using Flask and Socket.io for real-time communication. Users create a username and join chat rooms using a room number, preventing packet capture software like WireShark from intercepting network packets.
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Developed using the CodeIgniter 4 framework; not displayable on Git-pages.
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Developed an application for the Southern Connecticut State University to handle temporary ID cards for residents or students having trouble with their IDs, offering an interim solution until their issues are resolved.
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Utilized Angular for the front-end development and C# ASP.NET Core for the back-end architecture.
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Implemented a comprehensive system that fully automates the End of Month (EOM) financial process, ensuring seamless integration and real-time data availability for enhanced accuracy and efficiency in financial reporting.
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Created with PHP; cannot be displayed on Git-pages
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Developed a website for parents to register, sign in, provide contact details, and enroll their children in daycare while facilitating communication with assigned caretakers. Employees can also register, sign in, and view their work schedules and assigned children's information.
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Developed using Angular for the front-end and C# .NET Core for the back-end, this application is not compatible with GitHub Pages for deployment.
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Engineered a centralized ETL (Extract, Transform, Load) system that accommodates all extraction types and enables data transformation into any format for seamless integration with any database. This system includes a data scoring feature, allowing users to review extraction processes and modify configurations as needed. Additionally, it empowers users to create new ETL processes by simply completing the required parameters.
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Constructed with CodeIgniter 4, PHP, JavaScript, HTML, and CSS
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Developed an app for Southern Connecticut State University's graphic designers to manage and maintain a list of requests, functioning as a ticket system.
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Developed using Python.
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The increasing number of cancellations in the hotel industry demands a Machine Learning-based solution to predict which bookings are likely to be canceled. Hotels are grappling with this issue and have sought data-driven solutions from your firm. After analyzing the provided data, I identified the factors that strongly influence booking cancellations. I then built a predictive model capable of forecasting which bookings are likely to be canceled in advance. These insights can be utilized to formulate profitable policies for cancellations and refunds.
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Developed using Python Flask cannot be showcased on Git-pages
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The app enables user registration with email verification, job listing creation by employers, and job applications from employees. Email notifications keep both parties informed, and employers can access employee information.
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Developed using Python.
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Online streaming platforms like Netflix have a vast collection of movies in their repository. To enhance customer satisfaction and improve revenue, I built a Recommendation System that suggests relevant movies to users based on their historical interactions. The techniques employed in this project extend beyond movies and can be applied to any item for which a recommendation system is desired.
This project encompasses the following recommendation systems:
- Knowledge/Rank-based recommendation system
- Similarity-based Collaborative Filtering
- Matrix Factorization-based Collaborative Filtering
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Constructed using CodeIgniter 4, PHP, JavaScript, HTML, and CSS but cannot be showcased on Git-pages
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Developed an app for Southern Connecticut State University's Operation Assistants to manage and maintain a list of requests, operating as a ticket system.
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Built using Python
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A few years ago research was done on a tribe in America which is called the Pima tribe. In this tribe, it was found that the ladies are prone to diabetes very early. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients were females at least 21 years old of Pima tribe.
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Here, I'am analyzing different aspects of Diabetes in the Pima Diabetes Analysis by doing Exploratory Data Analysis.
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Crafted with CodeIgniter 4, a PHP framework
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The Staff Administration Portal is a web application streamlining employee permission management within the Residence Life system.
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Built using CodeIgniter 4, a PHP framework
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The Sign in System, designed for specific computer access, monitors student guests, services, packages, and keys in dormitories.
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Developed a secure sign-in system for Res-Life, accessible only to authorized computers, to manage student entries and guest tracking.