Projects
This website was developed entirely by me. I made this as a portfolio to showcase my projects, skills, experiences, incorporating responsive design principles and modern web technologies. The site highlights interactive elements, clear navigation, and a cohesive visual style to provide an engaging user experience across devices. Built with maintainability and scalability in mind, the project demonstrates my ability to design and implement a full featured web application from concept to deployment.
-
Built a personal website portfolio using Django for backend structure and Bootstrap for responsive design.
-
Developed multiple sections to clearly present professional background and skills.
-
Leveraged Django templates to create a maintainable, scalable web application.
-
Applied Bootstrap components and utilities for consistent styling, interactive elements, and cross device compatibility.
-
Configured a CI/CD pipeline to automatically deploy updates from GitHub Registry to a personal server.
-
Ensured intuitive navigation and cohesive visual design to enhance user experience.
Using a dataset from Kaggle, I developed a machine learning project to better understand how students’ daily activities relate to their stress. Features such as time spent studying, sleeping, socializing, exercising, participating in extracurricular activities, and academic indicators like GPA were analyzed to train a model capable of predicting a student's stress level.
-
Created visualizations such as histograms, box plots, correlation heatmaps, and scatter plot matrices to represent data relationships.
-
Performed exploratory data analysis (EDA) to understand the features before training.
-
Preprocessed the data by removing outliers, handling missing values, eliminating duplicates, and normalizing for model training.
-
Trained a logistic regression model to predict student stress levels.
-
Reported a confusion matrix and classification metrics to evaluate model accuracy and identify areas for improvement.