HAOYUAN ZHANG

• Utilized Q-Learning, to train the recommendation system. This methodology enabled the system to adaptively learn from audience reviews and provide more precise film recommendations over time.
• Processed and analyzed large sets of data to extract meaningful patterns that could be used to enhance the recommendation accuracy.
• Iteratively refined the recommendation algorithm based on new data and feedback, ensuring that users received optimal movie suggestions tailored to their tastes.
• Leveraged advanced machine learning algorithms and data processing tools to ensure seamless functionality and high recommendation accuracy.

⦁ Gained a solid background in the basics of cryptography and cybersecurity
⦁ Understood why all the classical ciphers were broken and the philosophy of modern cryptography
⦁ Completed and presented a final project about Bitcoine, Ethereum and Hyperledger Fabric