Murphy Ogbeide's Projects
A book management system with CRUD operations, authentication, authorization, user and role management system.
DevBlogCenter is an interactive blogging application designed for developers to share ideas and knowledge through blog posts and publications. Technologies Used: ASP.NET Core, C#, ASP.NET MVC, Entity Framework, SQL Server, Bootstrap, JavaScript, HTML/CSS, JWT, Dependency Injection.
C# Interview questions and answers
A Bank API with User, Card, and Transactions Endpoints
Perfoming data analysis on different types wines collected from vivino.com
My mission is to build a strong, robust, and scalable customers database for the exponential growth the company will soon have.
In this project, I analyzed the Google Play Store Apps data, which contains information about the various apps available on the Google Play Store.
This task required me to make different functions for collecting data from wikipedia, cleaning it and visualizing it.
To build a fraud detection model using the provided dataset and help FriendPay, a competitor of PayPal, and increase revenue from transaction fees.
The Patient Record Management System (PRMS) is a comprehensive web application designed to streamline the interaction between patients and healthcare professionals. With its user-friendly interface and robust features, PRMS revolutionizes the way healthcare services are accessed and managed.
Restore App is an e-commerce application enabling online buying and selling, featuring a product catalog with descriptions, images, and prices, as well as user authentication for account creation and secure transactions. Technologies Used: C#, .Net, React, Redux, Entity Framework, ASP.NET Identity, React Router, Automapper, Material Design, Stripe.
This project focuses on the practical aspects of text classification, specifically identifying offensive and non-offensive speech in a balanced dataset using machine learning models.
My mission is to help Galaxy Bank improve its marketing conversion rates by allowing them to target and predict which of their deposit clients are most likely to accept a loan offer from the bank. I will be meeting with the marketing leadership at the bank.