Hello, my name is

Adeniran Tidjani

African Tech Visionary for
Global Impact

About me

I'm Tidjani Adeniran, a bilingual (French and English) Computer Science student currently based in Ghana. I’ll be graduating from West End University College in January 2026. I'm passionate about tech, innovation, and building a life of purpose, wealth, and impact. I'm ready to collaborate, learn, and grow — and I'm driven to turn bold ideas into real solutions that make a difference.

Building Digital Solutions with Purpose and Vision

I believe technology is more than just lines of code — it’s a powerful tool to solve real problems, uplift communities, and shape a better future. My work in Computer Science is driven by a deep sense of purpose and a clear vision: to create digital solutions that are meaningful, accessible, and globally relevant. Whether it’s a personal project, a collaborative effort, or a larger initiative, I aim to build with intention — combining creativity, technical skill, and a strong desire to make a lasting impact.

My background in Computer Science, combined with my ability to speak both French and English, has given me a unique perspective on the challenges people face across different regions. Traveling and living in various West African countries has opened my eyes to deep issues in areas like education, infrastructure, and healthcare — especially in under-resourced communities. These experiences helped me realize that technology isn’t just a career path, it’s a global solution. I’m passionate about using tech to bridge gaps, create access, and solve real problems — not just locally, but worldwide.

What I do

As a passionate and purpose-driven Computer Science student, I offer a range of digital and technical services that combine creativity, functionality, and global insight.

Project collaboration

Have a great idea but need help bringing it to life? I'm open to collaborating on projects that align with tech, impact, or innovation — whether you're building a startup, launching an app, or working on a community-driven solution

Web Development

I design and build clean, responsive websites using modern tools and best practices. Whether it's a personal portfolio, business site, or landing page, I deliver websites that are visually appealing and user-friendly — optimized for both desktop and mobile.

App Development

I develop simple mobile and web-based applications tailored to user needs. From idea to prototype, I help bring functional, intuitive apps to life for real-world use cases like education, productivity, and business.

Digital Marketing Support

I help brands grow their digital presence through content strategy, targeted messaging, and simple campaign support. From website SEO to social media post planning, I can support visibility and engagement.

French ↔ English Translation

As a fluent speaker of both French and English, I offer accurate and context-aware translation services for documents, websites, and applications.

Web data Analysis

I analyze and interpret website and online data to help individuals or small businesses better understand their audience, improve performance, and make data-driven decisions using tools like Google Analytics and basic Python scripts..

Skills

Python
75%
Java
75%
HTML, CSS, JAVASCRIPT
83%
PHP
73%
Mysql
80%
Photoshop
80%
Figma
80%

My Experience

2023-2025

WEST END UNIVERSITY COLLEGE

Research Project

I have responsibly led a team of 12 designers to help, supervise and approve their designs to make sure it matches client expectations and latest design standards.

2022-2025

SIMPLICE HOUSES OF LANGUAGES

Web Developer

I was responsible for designing the user interface and experience of a School Management System as part of a collaborative academic project. My role included planning the layout, creating wireframes, selecting visual elements, and building responsive front-end components.

2024-2025

WEST END UNIVERSITY COLLEGE

Developed an ai powerd spam email classifier

I developed an AI-powered spam email classifier that automatically detects and filters unwanted or harmful messages. Using Natural Language Processing (NLP) techniques and a Multinomial Naive Bayes classifier, the system analyzes email content to distinguish between spam and legitimate messages with high accuracy

Portfolio & CV

As a driven, bilingual Computer Science student with a pan-African perspective, I bring a unique blend of technical skill, cultural awareness, and global ambition to everything I do. Born in Benin and currently based in Ghana, I’ve had the privilege of experiencing life and learning across several West African countries (Nigeria, Togo, Benin, Niger) — an experience that has shaped both my mindset and my mission. I will graduate from West End University College in January 2026, equipped not just with academic knowledge, but with a deep understanding of how technology can address real-world challenges in education, infrastructure, business, and beyond. 

My Projects

A collection of my academic, professional, and personal work across tech, research, and education.

Power Line Monitoring with ACO

I designed a UAV path planning model using Ant Colony Optimization (ACO) to enable efficient inspection of power line corridors. Inspired by the natural foraging behavior of ants, the system simulates pheromone-based decision-making to determine optimal flight routes. The algorithm was developed and tested using Ghana’s high-voltage transmission network dataset, allowing for realistic modeling of power line geography and constraints. This project aimed to improve inspection coverage and reduce energy consumption for aerial monitoring tasks. Tools used include Python, MATLAB (optional), and a custom implementation of the ACO algorithm.

AI-Powered Spam Email Classifier

I built an AI-powered spam detection system that uses Multinomial Naive Bayes and TF-IDF vectorization to automatically classify emails as spam or legitimate. The model analyzes the frequency and importance of words within email content to make accurate predictions, offering a lightweight yet effective solution for filtering unwanted messages. This project strengthened my skills in Natural Language Processing (NLP) and machine learning workflows. Tools used include Python, Pandas, and Scikit-learn.