Mengkheang Neak

Smishing Detection

• Built a smishing detection model using DistilBERT, TF-IDF, and Named Entity Recognition (NER) to identify malicious messages.
• Tackled real-world challenges like imbalanced datasets, improving model accuracy and reliability through strategic data handling.
• Independently managed key tasks while maintaining clear communication and collaboration within a team environment.
• Applied ethical and privacy-conscious practices throughout the project, with a strong focus on secure and responsible AI use.

Environmental Resource Consumption and Service Demand in Melbourne

• Led a data-driven project focused on analyzing the relationship between customer service request trends, resource consumption, and planned capital works in the City of Melbourne.
• Cleaned, integrated, and preprocessed multiple datasets including customer service requests, environmental resource usage, and capital works data.
• Conducted exploratory data analysis (EDA) to identify patterns, seasonal trends, and operational inefficiencies.
• Performed temporal and correlation analyses to uncover relationships between service demand, resource consumption, and greenhouse gas emissions.

• Performed troubleshooting to correct computer hardware and software malfunctions.
• Diagnosed and repaired hardware malfunctions, ensuring optimal computer functionality.
• Refurbished PC systems and peripherals such as monitors, networking equipment, printers, and more.
• Resolved technical issues for clients through remote support, increasing customer satisfaction.