31 projects and systems built. From AI waste management for Nigeria to clinical ML research and open-source data quality tools.
Showing 13 of 13 projects
Machine learning framework for personalized survival prediction for breast cancer patients using clinical data.
Highlights:
• METABRIC cohort: 1,980 patients, 34 clinical features
• Random Survival Forests: C-index 0.7045
• Risk stratification: Low (35.9%) to High (87.5%) event rates
Analysis of histology images to classify breast cancer metastases in lymph nodes using advanced ML algorithms. Predicts and classifies different stages using the TNM classification system.
Highlights:
• Image classification, segmentation, and deep learning
• TNM classification: Normal, Benign, InSitu, Invasive
• GPT/Gemini API recommendation system for diagnostic insights
• Detailed research paper with performance evaluation
Leveraging AI techniques like pre-trained generative models and transfer learning, fine-tuning StyleGAN2-ADA and BigGAN on wildlife datasets to generate images of endangered species.
Highlights:
• Published on ResearchGate (DOI: 10.13140/RG.2.2.22698.63686)
• Fine-tuned StyleGAN2-ADA and BigGAN
• Addresses data scarcity for endangered species
Comprehensive ML system for online banking fraud detection with economic impact analysis for Nigerian financial institutions.
Highlights:
• XGBoost model: AUC-ROC 0.8730
• Reduced false positive rate from 99.45% to 7.87%
• Demonstrated potential for significant cost savings in banking
Advanced ML and DL models to predict how changes in national and international policies affect global refugee movements, analyzing UN datasets.
Highlights:
• Analyzed UN datasets for refugee statistics and policy indicators
• Time-series forecasting for displacement patterns
• Data-driven insights for policymakers and humanitarian agencies
Collaborated with Insight Innovators on African food system challenges (production efficiency, supply chain economics, and waste reduction) across North, West, East, and South Africa.
Highlights:
• Analyzed food system data across four African regions
• Quantified economic impacts of food loss
• Developed policy recommendations
Interactive dashboard analyzing diabetes risk factors from public health data for preventive healthcare initiatives.
Highlights:
• Processed 10,000+ records with 15+ risk factors
• Identified 3 key factors accounting for 68% variance
• Reduced analysis time by 50%
Published Python library that automates dataset validation, profiling, and cleaning. Single-line code for publication-ready quality reports.
Highlights:
• Deployed to PyPi for public use
• Streamlines dataset validation and profiling
• Generates publication-ready quality reports with single-line code
AI-powered waste management for Nigerian cities. Uses predictive analytics to forecast waste generation patterns using traffic, population density, rainfall, and day-of-week data — no expensive sensors needed.
Highlights:
• 99.3% accuracy forecasting collection needs
• Voice assistant in Pidgin, Yoruba, Hausa, Igbo
• Route optimization: up to 30% fuel cost reduction
• Online learning — system gets smarter with every collection
Full-stack platform enabling freelancers, consultants, and businesses to collect, manage, and showcase client testimonials professionally with centralized feedback and customizable categories.
Highlights:
• Three auth methods: Google OAuth, Magic Links, Secret Keys
• Custom review categories and profile pages
• Email notifications & management dashboard
• Rate limiting, security headers, API versioning
Platform dedicated to unlocking human potential beyond the resume. Connects individuals, employers, and institutions through a skills-first approach aligned with real strengths.
Highlights:
• AI-powered assessments for strength-aligned careers
• Personalized career roadmaps & dynamic portfolios
• Employer talent matching based on actual skills
• AI Career Coach & Resume Agent (coming soon)
Privacy-first, client-side AI system transforming body measurements into actionable style guidance. Addresses the $128 billion annual cost of apparel returns due to poor fit.
Highlights:
• Probabilistic body typing (Hourglass, Pear, Apple, etc.)
• Instant size conversion (US/UK/EU/AU)
• Personalized style recommendations
• AI image body scan & 3D virtual try-on
Formula-driven attendance tracking in Google Sheets with cryptographic hash verification and circular reference protections. No additional software required.
Highlights:
• Self-validating checksums using built-in formulas
• Protection against retrospective data alteration
• Published guide on Medium
• Designed for resource-constrained schools
Financial insights tool for bank statement upload and automated spending pattern analysis with privacy-focused local processing.
Status: In Progress
Tech Stack: PDF Parsing, Data Viz, Python
Analysis of phishing vulnerability via questionnaire study in Nigeria, identifying key factors for cybersecurity awareness training.
Status: Completed
Tech Stack: Power BI, Data Viz, Cybersecurity
Explored sales dataset for top-selling products, geographical insights (San Francisco dominance), and monthly/quarterly trends.
Status: Completed
Tech Stack: Power BI, Data Modeling, DAX
Predictive model classifying delivery outcomes (Early, On-Time, Late) from 40+ features. 71.7% accuracy, 71.3% F1-Score.
Status: Completed
Tech Stack: Python, Random Forest, SHAP, LIME
XGBoost model identifying employees at risk of burnout from work-related survey data. 78% accuracy.
Status: Completed
Tech Stack: XGBoost, SHAP, Python
Text classification system identifying misinformation. 85% accuracy distinguishing legitimate from fake news.
Status: Completed
Tech Stack: NLP, TF-IDF, XGBoost
Logistic regression model detecting offensive content in Yorùbá, a low-resource African language. 91.3% accuracy.
Status: Completed
Tech Stack: NLP, Logistic Regression, TF-IDF
Python-based language detection using Multinomial Naive Bayes and TF-IDF with a user-friendly GUI for real-time prediction.
Status: Completed
Tech Stack: TF-IDF, Naive Bayes, Python, Tkinter
Interactive language learning tool with voice interaction providing word definitions, examples, and pronunciation assistance.
Status: Completed
Tech Stack: NLTK, Google Speech API, Python
Comparative performance analysis of Dijkstra's, Bellman-Ford, and Floyd-Warshall on synthetic and real-world graph datasets.
Status: Completed
Tech Stack: Python, NetworkX, Matplotlib
1st-place SDG hackathon project (SDG 4: Quality Education). Developed LearnVerse educative app with a team of five.
Status: Hackathon Winner
Tech Stack: App Dev, SDG 4, Team Project
C++ guessing game where the user has eight tries to guess a randomly generated secret number between 1 and 100.
Status: Completed
Tech Stack: C++, Game Logic
Examination of bike purchases using customer demographics and purchasing data with interactive Excel dashboard visualizations.
Status: Completed
Tech Stack: Excel, Dashboard, Data Analysis
Analysis of Java June coffee shop locations across Europe, exploring review counts, ratings, and business expansion insights.
Status: Completed
Tech Stack: Data Analysis, Visualization, Statistics
3-month capstone analyzing sales data; identified top regions/countries by profit and provided management advice via Pivot tables.
Status: Completed
Tech Stack: Excel, Pivot Tables, Charts
Three interactive science quizzes (Astronomy, Computer Literacy, Basic Physics) with shuffled questions, feedback, and retakes.
Status: Completed
Tech Stack: Python, Jupyter Notebook, CLI
A collection of visually compelling design works created alongside data science pursuits.
Status: Portfolio
Tech Stack: Graphic Design, Visual Design
A comprehensive overview of the tools, languages, and frameworks I use to build solutions.