AI & Machine Learning
Customer Churn Prediction
Built a predictive model using classification techniques to identify customers likely to churn in a telecom dataset.
Categorical Data Classification
Coursework for USC EE-559: Applied supervised learning algorithms like Naive Bayes, SVM, and Ensembles on structured data.
Gemini Explorer
A Python-based exploration tool for celestial data using AI-based pattern detection in star brightness and location.
Data Science & Analytics
Time Series Analysis
Analyzed temporal patterns using ARIMA, ETS, and trend decomposition techniques for forecasting insights.
Statistics & A/B Testing
Statistics & A/B Testing
Hypothesis testing, experiment design, and confidence interval analysis for evaluating business experiments.
Image Processing & Computer Vision
Image Processing
USC EE-569 coursework under Prof. C.C. Jay Kuo — applied techniques like histogram equalization, filtering, and edge detection in MATLAB.
EE-541 Computer Vision Project
Capstone project focused on visual analysis and recognition using deep learning and computer vision methods.