Bunthoeun S.

Key Skills

Software

No software listed

Top Subject Matter

Financial transaction fraud detection

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Computer Code Programming

Text

Document

Top Task Types

Classification

Freelancer Overview

Research Project: Comparison of Machine Learning and Deep Learning Techniques for Transaction Fraud Detection. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scikit-Learn. Education includes Master of Science, Royal University of Phnom Penh (2026) and Bachelor of Science, Royal University of Phnom Penh (2018). AI-training focus includes data types such as Tabular and labeling workflows including Classification.

Labeling Experience

Research Project: Comparison of Machine Learning and Deep Learning Techniques for Transaction Fraud Detection

Classification

Conducted a comparative experiment to train and evaluate multiple machine learning models using transaction data for fraud detection. The work involved data preprocessing, cleaning, feature engineering, and addressing class imbalance to prepare datasets for model training. Evaluated and compared the effectiveness of each model to recommend the optimal approach for AI-driven fraud detection. • Labeled transactions as fraudulent or non-fraudulent for supervised training. • Used common metrics such as Accuracy, Precision, Recall, F1-score, and ROC-AUC for evaluation. • Integrated AI training recommendations into a mobile banking context. • Explored both shallow and deep learning classification methods.

2025 - 2026

Education

Work History