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.
- Mathematics: 3.67 (A-)
- Computer: 3.33 (B+)
- Data Science: 3.00 (B)
- Optimization: 3.00 (B)
- Statistics: 2.89 (B- to B)
- Lead technical operations.
- Maintain digital platforms.
- Provide event technology support.
- Coordinate technology-related initiatives for activities.
- Recognized for commitment to service and leadership.
- Contributed actively to campus activities and student engagement.
- Demonstrated responsibility, collaboration, and community spirit.