Ruchitha Mithinti

I’m a Computer Science undergraduate building practical machine learning and data solutions. I’m skilled in Python, Machine Learning, Data Science, and SQL, and I enjoy turning structured data into models that can make accurate predictions.

In my projects, I’ve worked end-to-end—from preprocessing to evaluation. For student performance classification, I developed a classifier on 6,600+ records and compared Logistic Regression, Decision Tree, Random Forest, and KNN using 5-fold stratified cross-validation, reporting Accuracy, Precision, Recall, F1-Score, and a Confusion Matrix with Matplotlib.

For house price prediction, I built a Linear Regression model with a preprocessing pipeline using OneHotEncoder, StandardScaler, and a Scikit-learn Pipeline. I evaluated performance using R², 5-fold cross-validation, MAE, MSE, and RMSE.

I’m also comfortable building reliable supporting systems. I developed a menu-driven Placement Tracker using Python and SQLite with a relational database design, SQL CRUD operations, and Git/GitHub version control, and I completed a Java programming virtual internship focused on OOP through CodeAlpha.