I specialize in building real-world, end-to-end machine learning and deep learning solutions. My expertise extends to applying these solutions across various domains such as image recognition, predictive modeling, natural language processing, generative AI, optimization, etc.
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Currently focusing on MLOps and Deep Learning
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SQL Lover
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May the Dev, Ivuelekwa Stephen, who supported me in my early days always live happily 🙏
| Category | Project Name | Description |
|---|---|---|
| 🚀 End to End Machine Learning | End to End Customer Churn Prediction using MLflow and DVC | Identifying customers who are likely to churn, allowing businesses to take proactive measures to retain them |
| Deploying Customer Churn Model to Heroku using Docker and Github Actions | Deploying a customer churn prediction model using Docker and GitHub Actions for CI/CD to Heroku | |
| Prediction of Mohs Hardness | Predicting the Mohs hardness of minerals of different chemical spaces, crystal structures, and crystal classes | |
| ⚙️ Machine Learning | Detection of Social Bots using Machine Learning | Using Random Forest algorithm to detect automated accounts on Twitter and Instagram |
| Estimating the Yield of Digital Green Crop | Estimating the crop yield for farms in India with a focus on Bayesian Optimization | |
| Stroke Prediction Web App | Highlighting and emphasizing the significance of minimizing false negatives (Type I error) to enhance accuracy and risk mitigation | |
| Employee Status Prediction Web App | Navigating the complexities of a highly imbalanced dataset by predicting whether an employee will be promoted or not | |
| Asteriod Diameter Prediction | Benchmarking against a Multi-Layer Perceptron Regressor by Victor Basu | |
| Bulldozers Sale Price Prediction | A robust predictive model that excels in estimating the sale prices of bulldozers in the heavy equipment industry | |
| Youth Income Prediction API | A machine learning web app and API for predicting youth employment based on data from labour market surveys in South Africa | |
| 🧠 Deep Learning | Facial Reconstruction using Conditional Generative Adversarial Network | Reconstructing occluded facial images of celebrities using conditional generative adversarial network |
| Dental Open Bite Detection | Automatically detecting the presence of dental open bite using traditional convolutional neural network (CNN) and transfer learning | |
| Tomato Disease Detection using Convolutional Neural Networks and Explainable AI (XAI) | Integrating Local Interpretable Model-agnostic Explanations (LIME) with CNN-based classifiers for an explainable detection of tomato diseases | |
| T Shirt Sleeve Classification using Convolutional Neural Network | Classify whether a T-Shirt is long sleeve, short sleeve or sleeveless | |
| Maize Disease Detection using CNN | Detecting diseases in maize plant leaves using convolutional neural network | |
| 💬 Natural Language Processing | English to Yoruba Translation using RNN | A beginner's approach to Sequence to Sequence modeling |
| Analysing User Experience on E-Commerce Apps using | Analysing user experience on Alibaba, Amazon, Flipkart, Nyakaa and Shopify app on Google Play Store | |
| Sentiment Analysis of Spotify Songs | Analyzing sentiment in Spotify music dataset using natural language processing techniques | |
| Quora Insincere Questions Classification using TF IDF | A web app which classifies whether a given quora question is sincere or insincere using TF IDF - A beginner's approach to NLP | |
| Predicting Disaster Tweets using Bag of Words | A beginner's approach to Natural Language Processing | |
| 📊 Data Analysis | Analysis of Credit Card Transactions | Exploratory data analysis of credit card transactions: uncovering patterns and fraud insights |
| Exploratory Data Analysis of Cargo Theft Data | Uncovering effective crime prevention strategies | |
| Exploratory Data Analysis of FIFA World Cup Data | Where the passion for football runs deep, Brazil stands tall. With the highest number of FIFA World Cup victories, they don't just play the game, they define it | |
| Udacity-ALX Data Analyst Nanodegree Program | Three data analysis capstone projects | |
| Data Analysis with Python Zero to Pandas | Herein do I start my data journey | |
| 🌐 Web Applications | SQL100 | 100 questions on structured query language ranging from beginner to advance |
| Result Management System with Python Flask and MySQL | A web application built with Flask and is meant to simulate a real-world result management system | |
| 📱 Mobile App | CSC Students Result Management APP | Built using .Net and Xamarin |
| 💡 Others | Intuition Behind the Random Forest Algorithm | Let's go camping in the Random Forest |
| Support Vector Machine from Scratch | Implementing support vector machine algorithm from the ground up | |
| 100 Days of LeetCode | 100 days learning Algorithms and Data Structures | |
| CRUD Operation with PHP and MySQL | Just another mumbo jumbo practicing php |
