Sumaila Ayamba

About Me

I’m a detail-oriented software developer with over 2 years of experience in building full-stack applications using Django and React. I have a strong track record of delivering complete, end-to-end solutions and enjoy tackling complex business challenges through clean, scalable code. My hands-on experience with the Django framework and React allows me to create robust and user-friendly applications that drive real results.

Education

General Science Bawku Senior High School (2014-2017)

Bachelor of Science in Information Technology — University of Cape Coast (2020-2024)

Relevant Coursework

Data Structures and Algorithms using C++
Programming and Problem Analysis using C++
Object Oriented Programming with Java
Database Management Systems
Software Engineering
Statistical Modeling
Introduction to Project Management

Technical Skills

Python: 70%

Django: 60%

Java: 40%

Spring Boot: 20%

C++: 40%

JavaScript: 50%

React: 30%

Nodejs: 30%

SQL: 70%

Work Experience

Web Development Intern - Remote CodSoft(Remote)

Blogging Platform

Designed intuitive user interfaces for blog posts with a focus on user experience and accessibility.
Developed robust back-end systems using Python for efficient data handling and secure infrastructure.
Built interactive front-end features, including responsive design, post listings, search functionality, and user profile pages.
Implemented essential features like user authentication, blog post creation, and a commenting system, with deployment on Heroku for reliability.

Machine Learning Intern - Mentorness(Remote)

Diabetes Prediction

Developed a diabetes prediction model using Python, Pandas, and Scikit-Learn, achieving 90 accuracy through logistic regression and decision tree algorithms.
Deployed the model with a user-friendly Flask web interface, enhancing early detection and acces- sibility of health assessments.

Projects

NETFLIX WEB APPLICATION

Netflix Clone is a Django-based web application designed for movie lovers to search, review, and keep track of films they’ve watched. Users can create accounts, explore movie titles, submit in-depth reviews, and indicate rewatch preferences. With a clean, user-friendly interface, this project encourages engagement and community feedback.

Technologies Used

Django
JavaScript
HTML, CSS, Bootstrap
PostgreSQL

View project

SALES PER UNIT vs. NEWSPAPER, TV, and RADIO

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.