Bachelor of Science in Information Technology - University of Cape
Coast (2020-2024).
Python: 70%
Django: 50%
Java: 30%
Spring Boot: 10%
C++: 30%
JavaScript: 35%
React: 30%
Nodejs: 30%
SQL: 70%
I am a detailed-oriented person with over 1+ years of experience in Software Development. I have a proven ability to develop end-to-end projects. I am curious hands-on experience in leveraging DJango Framework and React to solve challenging business problems.
Blogging Platform
Supermarket Data Analysis
Diabetes Prediction
Mini Netflix is a Django-based web application designed for movie enthusiasts to search, review, and track movies they’ve watched. Users can sign up, search for movies by title, add detailed reviews, and indicate whether they would like to watch the movie again. This application provides a simple, intuitive interface for users to manage their movie experiences and share their opinions with others.
The Blog App is a secure and scalable backend solution built with Django, enabling users to perform CRUD operations on blog posts with token-based authentication, ensuring only authenticated users can modify content. It features robust error handling, clear feedback for invalid requests, and flexibility for integration with frontend frameworks like React or Angular, and mobile applications. By adhering to best practices in authentication and data protection, the Blog API supports the development of secure, scalable, and user-friendly blogging platforms.
The Contact Book Application project showcases the practical application of binary search trees (BSTs) in efficiently managing contacts by enabling quick addition, deletion, search, and listing of contacts, even with large datasets. It provides hands-on experience with BSTs and binary search, reinforcing key data structure concepts while building a functional application. Each BST node represents a contact, storing details like name, phone number, and email.
The Contact Book Application is a Python-based GUI application that allows users to efficiently manage their contacts. Built using Tkinter, the application supports various functionalities, including adding, finding, updating, deleting contacts, and managing favorites. It also features birthday tracking and CSV import/export capabilities
The Instagram Analysis project examines key metrics such as profile visits,
post impressions, comments, and shares to identify strategies for boosting
content visibility and engagement. It highlights the strong correlation
between shares and profile visits in increasing overall reach.
To maximize impressions, the analysis recommends creating engaging,
shareable content, optimizing bios and highlights to drive profile visits,
and focusing on high-quality content that generates more likes, comments,
and shares.
These insights provide actionable steps to enhance Instagram engagement and visibility.
This project analyzes the impact of advertising expenditure on sales per unit across three different mediums: Newspaper, TV, and Radio. The goal is to determine which channels most effectively drive sales and provide strategic recommendations for optimizing the marketing budget.
This analysis demonstrates that TV and Radio are the most effective advertising mediums for driving sales. Strategic budget allocation towards these channels, while reducing Newspaper spend, is recommended to maximize return on investment.
Recommendations
Increase TV Budget: Allocate a larger portion of the budget to TV advertising, given its strong correlation with sales. Optimize Radio Spend: Continue investing in Radio, especially for regional campaigns where it shows strong returns. Reevaluate Newspaper Spend: Consider reducing or reallocating funds from Newspaper advertising to more impactful channels like TV and Radio.
