Projects

This project involved developing a prediction model to forecast employee promotions, analyzing data in detail to provide recommendations for improvement. The model achieved over 70% accuracy, making it a valuable decision-making tool.

This project involved building a linear regression model to analyze Airbnb prices across locations, enabling buyers and customers to adjust rates or assess price fairness. It enhanced my understanding of sampling methods and their real-world applications.

Analyzing Vietnamese Tiki products involved using PySpark to build a linear regression model for sales forecasting. This project enhanced my skills in handling large datasets, optimizing data workflows, and applying machine learning to real-world scenarios.

In the cybersecurity session, we learned practical techniques by attempting to crack our lecturer's password in a controlled environment. This hands-on exercise gave us valuable insight into common vulnerabilities and the importance of strong password security, while reinforcing ethical hacking principles and cybersecurity best practices.

Leveraging my Python knowledge, I developed an efficient carpark availability system for Singapore. 

Using SAP Analytics Cloud, I analyzed e-commerce data from a retail shop to uncover valuable insights that support data-driven decision-making. By leveraging the platform's AI-powered tools, I enhanced the analysis by identifying trends, detecting patterns, and making predictive forecasts.