Python Developer/Machine Learning Engineer
Welcome! I'm Abdirahman Hassan Abdi, a Python Developer and Machine Learning Engineer dedicated to using technology to address complex challenges. With a strong foundation in both technical and analytical skills, I excel in Python, HTML, and CSS programming, and specialize in data preprocessing, feature engineering, and predictive modeling. My professional interests include exploring cutting-edge machine learning techniques, contributing to open source projects, and continuous learning to stay abreast of industry trends.
This project uses machine learning to predict diabetes based on health indicators such as age, BMI, blood glucose levels, and more. The dataset is preprocessed to handle missing values, encode categorical variables, and normalize numerical features. A logistic regression model is trained and optimized using grid search cross-validation. The model's performance is evaluated using the ROC AUC score and a classification report.
View on GitHubChapterVerse is designed to scrape online novels and create EPUB files from their chapters. Provides concurrent scraping capabilities to improve efficiency. Includes error handling with automatic retry logic for transient network errors. Allows adding customizable cover images to the generated EPUB files.
View on GitHubThis Python script creates a GUI for converting multiple Excel files into a single Excel file with each file's data on a separate sheet. Features include file validation, error handling, and user feedback. Users can select multiple files, choose the target location, and the script merges the data, providing informative messages throughout the process.
View on GitHubA PyQt5-based application that allows users to add multiple semesters, input grades and credit units for each module in a semester, and calculate both semester and cumulative GPA.
View on GitHubDeveloped a dynamic and visually appealing portfolio website using HTML, CSS, and JavaScript to showcase professional skills, projects, and experiences effectively.
View on GitHubKampala, Uganda
Jan 2024 - Present
Remote
Feb 2021 - Nov 2023