Machine learning project evaluating whether technical indicators improve stock price movement prediction performance using Logistic Regression, SVM, Random Forest, and XGBoost models.
Cryptography optimization project improving RSA-4096 decryption efficiency through parallel computing, Chinese Remainder Theorem (CRT), Montgomery multiplication, and 4-bit sliding window algorithms.
Data visualization dashboard built using R, ggplot, and interactive analytics tools to explore global AI job salaries, experience levels, remote work trends, and industry demand.
Natural language processing and data mining project analyzing disaster tweets using text preprocessing, feature extraction, and machine learning models for classification and sentiment detection.
Bioinformatics project analyzing circRNA expression differences between normal and NASH cirrhotic fibroblasts through differential expression analysis and biological interpretation of fibrosis-related mechanisms.
Database management system project designing a used-car trading platform with SQL-based data storage, transaction management, and vehicle information management functionalities.
Regression analysis project developing predictive models for high-value house prices using statistical methods, feature engineering, and housing market data analysis.