Featured Projects
Data Analytics Projects
Google Sheets Analysis
Analyzed global water access data, revealing income and rural-urban disparities, and informing targeted public health interventions.
Data Visualization
Used Power BI to analyze water accessible, gender composition and crime data, informing infrastructure planning and policy-making.
SQL Data Analysis
Analyzed water data in Maji Ndogo, identifying disparities and improving access and quality through efficient management solutions.
Python Data Analysis
Revolutionized Maji Ndogo farming using Python toolkits, boosting crop yield and reducing waste through precision agriculture.
Machine Learning Projects
Linear Regression Analysis
Built predictive models using machine learning techniques to gain insights on agricultural yield, population growth, and inform policy decisions.
Natural Language Processing
Applied advanced machine learning techniques to classify text and predict wine quality, achieving high accuracy in both projects.
Unsupervised Machine Learning
Applied unsupervised learning techniques, including clustering and dimensionality reduction, to extract insights and improve data visualization.
AutoGluon for Bike Sharing Prediction
Used AutoGluon to predict bike-sharing demand, optimizing distribution and availability with accurate predictions and robust data analysis.
Optical Character Recognition
Built a character recognition system with 97.49% accuracy using PyTorch and the MNIST dataset.
Convolutional Neural Networks
Built and deployed a CNN model for accurately classifying landmarks from images using both custom CNNs and transfer learning techniques, achieving 76% accuracy.
Machine Learning Pipeline On AWS
Developed an image classification model for identifying delivery vehicles to optimize routing and loading efficiency.
Deep Learning Image Classification
Classified dogs images into different breeds, demonstrating effective image classification and model evaluation.
Computer Vision Application
Develop an AI application for classifying flower species using deep learning, featuring data preprocessing, model training, and inference capabilities.
Software Engineering Projects
Ambrosial Recipe App
Developed Ambrosial, a Flask-based web app for culinary enthusiasts, featuring user authentication, post creation, and profile management.
Systems Engineering
Mastered Linux shell basics, web infrastructure, and DevOps skills through System Engineering projects, enhancing system engineering capabilities.
Low Level Programming
Mastered C programming fundamentals to advanced topics, developing skills in problem-solving and low-level programming through C projects.
High Level Programming
Mastered Python concepts and developed skills in SQL, web scraping, and network programming through ALX Africa Higher Level projects.
Simple Shell
Developed Simple Shell, a UNIX command line interpreter in C, demonstrating proficiency in low-level programming and system software development.
Binary Trees
Developed efficient binary trees in C, optimizing functions and mastering various techniques, demonstrating strong problem-solving and programming skills.
Sort Algorithm
Implemented various sorting algorithms in C, enhancing understanding of algorithm efficiency and demonstrating proficiency in coding and teamwork.
Monty Interpreter
Developed a C-based Monty ByteCode interpreter using a stack data structure, showcasing skills in C programming and data structures.
