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<!DOCTYPE HTML>
<html lang="en">
<head>
<title>Sumaila Ayamba</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.rtl.min.css" integrity="sha384-dpuaG1suU0eT09tx5plTaGMLBsfDLzUCCUXOY2j/LSvXYuG6Bqs43ALlhIqAJVRb" crossorigin="anonymous">
<script src="https://unpkg.com/[email protected]/dist/typed.umd.js"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.5.0/css/all.min.css" integrity="sha512-ytnfXqKNhJMgfsKZ+obCx6TDkA3rhgrqMTZdZZ8fq7d3/EIHJ02v+89uPmxQx0ze" crossorigin="anonymous">
<link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/tailwind.min.css" rel="stylesheet"/>
<style>
.highlighted {
color: #3498db; /* Bright blue */
}
.muted {
color: #95a5a6; /* Light gray */
}
.heading {
color: purple;
text-decoration:none;/* Bright red */
}
.custom{
padding-top: 5px;
padding-bottom: 5px;
}
#name{
font-style:italic;
}
</style>
</head>
<body class="bg-gray-100">
<!-- Profile Image Section -->
<div class="flex flex-col image items-center my-10 ">
<a href="#">
<img
src="images/mee.jpeg"
alt="pict"
class=" rounded-full w-48 h-48 border-6 border-dark-300 shadow-lg"
/>
<h1 class="custom text-sm highlighted mt-4 text-decoration-none max-w-4xl mx-auto p-2 text-xl font-bold text-white bg-gray-800 rounded-lg" id="name" >SUMAILA AYAMBA</h1>
</a>
<hr class="border-gray-400 w-32 my-4" />
</div>
<!-- Typing Animation Section -->
<script>
var typed = new Typed("#name", {
strings: ["<i>SUMAILA 🥳🥺</i>", "AYAMBA 👀"],
typeSpeed: 100,
loop: true,
});
</script>
<div
id="element-2"
class="custom text-xl font-bold text-white bg-gray-800 shadow-lg text-center rounded-lg mb-2"
></div>
<script>
var typed = new Typed("#element-2", {
strings: ["<i>Hey 👋 there!</i>", "Code? Eat? Sleep "],
typeSpeed: 120,
loop: true,
});
</script>
</div>
<!-- Education Section -->
<div class="container rounded-lg">
<h4 class="text-center text-lg font-bold mb-2 heading "><a href="#">Education</a></h4>
<div class="shadow-lg p-5 bg-white rounded-lg "> <!--text-gray-700-->
<p class="text-black">
Bachelor of Science in Information Technology - University of Cape
Coast (2020-2024).
<br>
<br>
<hr class="border-gray-400 w-50" >
<strong class=" text-black"> Relevant Course Work</strong>
</p>
<!--text-gray-600-->
<ol class=" mt-2 text-gray-600">
<li>Data Structures and Algorithms using C++</li>
<li>Programming and Problem Analysis using C++</li>
<li>Object Oriented Programming with Java</li>
<li>Database Management Systems</li>
<li>Software Engineering</li>
<li>Statistical Modeling </li>
<li>Introduction to Project Management </li>
<li>Introduction to Artificial Intelligence</li>
</ol>
</div>
</div>
<!-- Technical Skills -->
<div class="container ">
<h4 class="text-center text-lg font-bold mb-5 heading "><a class="heading" href="#">Technical Skills</a></h4>
<div class="shadow-lg p-5 bg-white text-gray-600 rounded-lg">
<!-- Progress Bar Container -->
<div class="w-full bg-gray-200 rounded-full h-4">
<!-- Python Progress Bar -->
<div class="bg-blue-600 h-4 rounded-full" style="width: 70%;"></div>
</div>
<p class="text-sm text-gray">Python: 70%</p>
<div class="w-full bg-gray-200 rounded-full h-4 mt-2">
<!-- JavaScript Progress Bar -->
<div class="bg-pink-600 h-4 rounded-full" style="width: 50%;"></div>
</div>
<p class="text-sm text-gray-600">Django: 55%</p>
<br>
<div class="w-full bg-gray-200 rounded-full h-4 mt-2">
<!-- Java Progress Bar -->
<div class="bg-yellow-500 h-4 rounded-full" style="width: 40%;"></div>
</div>
<p class="text-sm text-gray-600">Java: 40%</p>
<div class="w-full bg-gray-200 rounded-full h-4 mt-2">
<!-- JavaScript Progress Bar -->
<div class="bg-purple-600 h-4 rounded-full" style="width: 0.5%;"></div>
</div>
<p class="text-sm text-gray-600">Spring Boot: 0%</p>
<br>
<div class="w-full bg-gray-200 rounded-full h-4 mt-2">
<!-- C++ Progress Bar -->
<div class="bg-green-600 h-4 rounded-full" style="width: 55%;"></div>
</div>
<p class="text-sm text-gray-600">C++: 55%</p>
<br>
<div class="w-full bg-gray-200 rounded-full h-4 mt-2">
<!-- JavaScript Progress Bar -->
<div class="bg-yellow-300 h-4 rounded-full" style="width: 50%;"></div>
</div>
<p class="text-sm text-gray-600">JavaScript: 50%</p>
<div class="w-full bg-gray-200 rounded-full h-4 mt-2">
<!-- JavaScript Progress Bar -->
<div class="bg-red-600 h-4 rounded-full" style="width: 30%;"></div>
</div>
<p class="text-sm text-gray-600">React: 30%</p>
<div class="w-full bg-gray-200 rounded-full h-4 mt-2">
<!-- JavaScript Progress Bar -->
<div class="bg-yellow-300 h-4 rounded-full" style="width: 70%;"></div>
</div>
<p class="text-sm text-gray-600">SQL: 70%</p>
</div>
<!-- Professional Summary -->
<div class="rounded-lg">
<h4 class="text-center text-lg font-bold mb-5 heading "><a class="heading" href="#">Professional Summary</a></h4>
<div class="shadow-lg p-5 bg-white text-gray-600 rounded-lg">
<p class="text-gray-600" >
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.
</p>
</div>
</div>
<!-- Work Experience -->
<div class="rounded-lg">
<h4 class="text-center text-lg font-bold mb-1 heading "><a class="heading" href="#">Work Experience</a></h4>
<div class="shadow-lg p-5 bg-white text-gray-600 rounded-lg mb-2">
<h6 class="font-bold text-gray-600">Web Development Intern - Remote CodSoft(Remote)</h6>
<p class="text-gray-600 mt-2 ">Blogging Platform</p>
<ul class="list-none mt-2 text-gray-600">
<li>Designed intuitive user interfaces for blog posts with a focus on user experience and accessibility.</li>
<li>Developed robust back-end systems using Python for efficient data handling and secure infrastructure.</li>
<li>Built interactive front-end features, including responsive design, post listings, search functionality, and user profile pages.</li>
<li>Implemented essential features like user authentication, blog post creation, and a commenting system, with deployment on Heroku for reliability.</l>
</ul>
<br><hr><br>
<h6 class="font-bold text-gray-600 rounded-lg">Software Development Intern - Cognifyz Technologies(Remote)</h6>
<p class="text-gray mt-2">Supermarket Data Analysis</p>
<ul class="list-none mt-2 text-gray-600">
<li>
Conducted extensive data analysis on a supermarket dataset using
Python and advanced statistical methods, uncovering key insights on
sales trends, customer behavior, and product performance.
</li>
<li>
Presented actionable recommendations to stakeholders, resulting in
significant improvements in sales, inventory management, and
customer satisfaction.
</li>
</ul>
<br>
<hr>
<br><br>
<h6 class="font-bold text-gray-600">Machine Learning Intern - Mentorness(Remote)</h6>
<p class="text-gray-600 mt-2">Diabetes Prediction</p>
<ul class="list-none mt-2 text-gray-600">
<li> Developed a diabetes prediction model using Python, Pandas, and Scikit-Learn, achieving 90 accuracy through logistic regression and decision tree algorithms.</li>
<li>Deployed the model with a user-friendly Flask web interface, enhancing early detection and acces-
sibility of health assessments.</li>
</ul>
</div>
</div>
<!-- Certifications -->
<div class="container text-gray-600 ">
<h4 class="text-center text-lg font-bold mb-5 heading text-gray-600"><a class="heading" href="#">Certifications</a></h4>
<div class="shadow-lg p-5 bg-white text-gray-600 rounded-lg">
<ol class=" text-gray">
<li> Machine Learning and Deep Learning Projects with Python - Udemy</li><br>
<li> IBM Machine Learning Professional - Coursera</li><br>
<li> Statistics with Python Specialization - Coursera</li><br>
<li> Google Cyber Security Specialization - Coursera</li><br>
<li> Cyber Security Specialization with Python - Coursera</li><br>
<li> Software Development & Engineering Excellence Master - Udemy </li><br>
</ol>
</div>
</div>
<!-- Certifications -->
<div class="container">
<br>
<h4 class="text-center text-lg font-bold mb-5 heading "><a class="heading" href="#"> Tech books worth reading </a></h4>
<div class="shadow-lg p-5 bg-white text-gray-600 rounded-lg">
<ol class="text-gray">
<li> Software Engineering at Google by Titus Winters , Tom Manshreck , and Hyrum Wright, 2020. </li>
<li> The Clean Architecture by Roberts C. Martins, 2020. </li> <br>
<li>Designing Microservices Using Django Structuring, Deploying and Managing the Microservices Architecture with Django
by
Shayank Jain, 2020.
</li>
<li> Real-World Software Development With Java by Raoul-Gabriel Urma, Richard Warburton</li>
<br>
<li> Design Patterns: Elements of Reusable Object-Oriented Software(The Gang of Four, GOF) By Erich Gamma, Richard Helm, Ralph Johnson and John Vlisssides</li><br>
<br>
<li> Deciphering Object-Oriented Programming with C++ by Dorothy K. KirK, 2023.</li>
</ol>
</div>
</div>
<!-- Certifications -->
<br>
<div class="container">
<br>
<h4 class="text-center text-lg font-bold mb-5 heading ">5 Key Strategies to Boost API Performance</h4>
<div class="shadow-lg p-5 bg-white text-gray-600 rounded-lg">
<ol class="text-gray-600">
<li>Pagination:
- Fetch only what's needed to shrink response size.
- Speed up content loading with page-wise delivery.</li>
<br>
<li>Asynchronous Processing:
- Handle multiple tasks at once for better concurrency.
- Keep user experience smooth with background task processing.</li>
<br>
<li>Caching:
- Serve frequent requests quickly with pre-stored data.
- Reduce server load by avoiding unnecessary database hits.</li>
<br>
<li> Connection Pooling:
- Reuse database connections to lower overhead.
- Scale up to handle more concurrent database interactions.</li>
<br>
<li> Load Balancing:
- Spread requests across servers for reliability.
- Maintain service consistency, even with server outages.</li>
<br>
</ol>
</div>
</div>
<!-- Projects Section starts here-->
<!-- Certifications -->
<br>
<div class="container">
<h4 class="text-center text-lg font-bold mb-5 "><a class="heading". href="#">More Projects loading ...</a></h4>
<div class="card bg-white">
<div class="card-body text-gray-600 ">
<h5 class="card-title font-bold ">MINI NETFLIX WEB APPLICATION</h5>
<p class="card-text text-gray-600">
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.
</p>
<br>
<hr>
<h6><strong>Technologies used </strong></h6>
<ol class="text-gray-600">
<li>Django </li>
<li>JavaScript</li>
<li>HTML CSS.Bootstrap</li>
<li>PostgresSQL</li>
</ol>
</div>
<div class="card" aria-hidden="true">
<img src="images/screen.png" class="card-img-top" alt="picture">
<img src="images/screen_hom.png" class="card-img-top" alt="picture">
<img src="images/screen_home.png" class="card-img-top" alt="picture">
<div class="card-body">
<h5 class="card-title placeholder-glow">
<span class="placeholder col-6"></span>
</h5>
<p class="card-text placeholder-glow">
<span class="placeholder col-7"></span>
<span class="placeholder col-4"></span>
<span class="placeholder col-4"></span>
<span class="placeholder col-6"></span>
<span class="placeholder col-8"></span>
</p>
<a class="btn btn-primary disabled placeholder col-6" aria-disabled="true"></a>
<br><br><br>
<a href="https://github.com/AyambaSumaila/Mini-Netflix-Django" class="btn btn-primary">View project</a>
</div>
</div>
</div>
<br><br>
<div class="card bg-white text-gray-600">
<div class="card-body">
<h5 class="card-title font-bold">DJANGO BLOGGING APPLICATION</h5>
<p class="card-text text-gray-600">
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.
</p>
<br>
<hr>
<h6><strong> Technologies used </strong></h6>
<ol class="text-gray-600">
<li>Django </li>
<li>Django Rest Framework</li>
<li>HTML CSS.Bootstrap</li>
<li>PostgresSQL</li>
</ol>
</div>
<br>
<div class="card" aria-hidden="true">
<img src="images/blog_3.png" class="card-img-top" alt="picture"><br>
<img src="images/me.png" class="card-img-top" alt="picture"><br>
<img src="images/me_3.png" class="card-img-top" alt="picture"><br>
<img src="images/blog.png" class="card-img-top" alt="picture"><br>
<img src="images/screen_3.png" class="card-img-top" alt="picture">
<div class="card-body">
<h5 class="card-title placeholder-glow">
<span class="placeholder col-6"></span>
</h5>
<p class="card-text placeholder-glow">
<span class="placeholder col-7"></span>
<span class="placeholder col-4"></span>
<span class="placeholder col-4"></span>
<span class="placeholder col-6"></span>
<span class="placeholder col-8"></span>
</p>
<a class="btn btn-primary disabled placeholder col-6" aria-disabled="true"></a>
<br><br><br>
<a href="https://github.com/AyambaSumaila/blog-django-api" class="btn btn-primary">View project</a>
</div>
</div>
</div>
<div class="card bg-white">
<div class="card-body text-gray-600">
<h5 class="card-title font-bold">CONTACT BOOK APPLICATION</h5>
<p class="card-text text-gray-600">
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.
</p>
<br><hr>
<div class="bg-white text-gray-600 ">
<strong>Description</strong>
<p>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
</p>
</di>
</div>
<br>
<hr>
<h6 class="text-gray-600"><strong>Technologies used </strong></h6>
<ol class="text-gray-600">
<li>Python</li>
<li>Tkinter</li>
</ol>
<div class="card" aria-hidden="true">
<img src="images/image_5.png" class="card-img-top" alt="picture">
<img src="images/image_2.png" class="card-img-top" alt="picture">
<img src="images/image_4.png" class="card-img-top" alt="picture">
<div class="card-body">
<h5 class="card-title placeholder-glow">
<span class="placeholder col-6"></span>
</h5>
<p class="card-text placeholder-glow">
<span class="placeholder col-7"></span>
<span class="placeholder col-4"></span>
<span class="placeholder col-4"></span>
<span class="placeholder col-6"></span>
<span class="placeholder col-8"></span>
</p>
<a class="btn btn-primary disabled placeholder col-6" aria-disabled="true"></a>
<br><br><br>
<a href="https://github.com/AyambaSumaila/algorithm-binary-search-contact-book-manager-project?tab=readme-ov-file" class="btn btn-primary">View project</a>
</div>
</div>
</div>
</div>
<br><br>
<div class="card bg-white">
<div class="card-body text-gray-white">
<h5 class="card-title font-bold">INSTAGRAM DATA ANALYSIS</h5>
<p class="card-text text-gray-600">
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.
<br>
These insights provide actionable steps to enhance Instagram engagement and visibility.
</p>
<br>
<hr>
<h6><strong>Technologies used </strong></h6>
<ol class="text-gray-600">
<li>Pandas</li>
<li>Numpy</li>
<li>Python</li>
<li>Seaborn</li>
<li>Matplotlib</li>
</ol>
</div>
<div class="card" aria-hidden="true">
<img src="images/insta.png" class="card-img-top" alt="picture">
<img src="images/screen_5.png" class="card-img-top" alt="picture">
<img src="images/screen_6.png" class="card-img-top" alt="picture">
<div class="card-body">
<h5 class="card-title placeholder-glow">
<span class="placeholder col-6"></span>
</h5>
<p class="card-text placeholder-glow">
<span class="placeholder col-7"></span>
<span class="placeholder col-4"></span>
<span class="placeholder col-4"></span>
<span class="placeholder col-6"></span>
<span class="placeholder col-8"></span>
</p>
<a class="btn btn-primary disabled placeholder col-6" aria-disabled="true"></a>
<br><br><br>
<a href="https://github.com/AyambaSumaila/Instagram-reach-analysis-using-python" class="btn btn-primary">View project</a>
</div>
</div>
</div>
<br><br>
<div class="card bg-white text-gray-600 ">
<div class="card-body">
<h5 class="card-title font-bold">SALES PER UNIT vs. NEWSPAPER, TV, and RADIO</h5>
<p class="card-text text-gray-600">
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. </p>
<p>
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.
</p>
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<p><strong>Recommendations</strong></p>
<p class="text-gray-600">
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.
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<h6><strong>Technologies used </strong></h6>
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<li>Pandas</li>
<li>Numpy</li>
<li>Python</li>
<li>Seaborn</li>
<li>Matplotlib</li>
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