A growing collection of exercises and practical projects, with an emphasis on the working process, the right tool for the problem, and a clear explanation of the outcome.
This page brings completed projects and work in progress together. Links to code and reports will be added to each card when a public version is ready.
Showing 7 projects
Machine LearningA comparison of RF, SVM, GB, and KNN for predicting fatty liver disease in 306 adults with overweight or obesity; the men's Random Forest model achieved the best performance.
Deep LearningBuilding and evaluating a neural network on the breast cancer dataset, including K-fold validation, Dropout, and hyperparameter tuning; test accuracy was approximately 98%.
Computer VisionDesigning a CNN with Keras to classify chest X-ray images and examining performance differences across training, validation, and test sets.
Web & DeploymentAutomationA workflow that retrieves and summarizes Gmail messages, determines whether a reply is needed, and sends a notification through Telegram.
SQLA collection of analytical queries for joining tables, aggregating orders, and answering business questions with SQL.
Data AnalysisStep-by-step exercises in cleaning, selecting, grouping, and summarizing data to reinforce practical Python analysis skills.
I am open to research collaborations, data analysis projects, and automation ideas, starting with a careful look at the problem and a practical path forward.
