Summary
Overview
Work History
Education
Skills
Timeline
Languages
References
SONGHIENG VAN

SONGHIENG VAN

SENIOR DATA SCIENTIST
Phnom Penh

Summary

Senior Data Scientist and Computer Science student at Jinan University, China with proven expertise in developing and deploying innovative AI and machine learning solutions. Skilled in computer vision, predictive modeling, MLOps, ML, AI. Adept at designing advanced algorithms and systems, leveraging data intelligently to solve complex problems. An innovative and fast learner with a passion for technology and a commitment to efficient research and prototyping of novel solutions.

Overview

3
3
years of professional experience
4
4
years of post-secondary education
3
3
Languages

Work History

SENIOR DATA SCIENTIST

Hattha Bank
09.2024 - Current
  • Created an AI-powered internal chatbot for secure data retrieval and Q&A, ensuring compliance with data security protocols and improving internal communication.
  • Built a customer service chatbot with a rule-based framework and vector store database, enabling accurate, contextually relevant responses for improved query resolution.
  • Developed predictive models using NeuralProphet and Prophet to forecast Loan PAR (Portfolio at Risk), enabling proactive risk management.
  • Built ML models to predict loan arrears trends, identifying repayment patterns and estimating the most likely repayment intervals for customers.
  • Optimized credit risk strategies using K-Means clustering and Random Forest, providing actionable insights for credit officers to enhance collection efficiency.
  • Designed a Customer Performance framework using RFM analysis for mobile banking users, leveraging transactional data to improve engagement.
  • Developed product recommendation algorithms using Apriori and collaborative filtering, enhancing personalized offerings in Hattha Mobile.
  • Customized the RFM algorithm for CBC data and Hattha Banking, generating actionable customer listings to enhance performance and optimize risk management.

AI ENGINEER

Ministry Of Interior
09.2023 - 03.2024
  • Developed ANPR AI Prototype: Utilized YOLOv8 for object detection and OCR for text extraction, integrated with W&B for streamlined MLOps monitoring.
  • Enhanced Detection Accuracy: Fine-tuned vehicle classification models and optimized number plate recognition across diverse environments, boosting reliability.
  • Advanced Traffic Management: Leveraged real-time ANPR data and transfer learning from COCO datasets to improve Traffic Light Management systems for dynamic traffic scenarios.

AI ENGINEER

Neusoft Corporation
04.2023 - 07.2023


  • Developed innovative AI for vehicle counting, utilizing OpenCV to design and implement effective computer vision algorithms.
  • Designed ML systems and self-running AI software for automating classification models, including emotion recognition from facial expressions, leveraging advanced techniques in deep learning and feature extraction.

AI ENGINEER

JNU Research Lab
02.2022 - 03.2023
  • Researched and implemented machine learning methodologies with a focus on feature engineering to handle high-dimensional signal datasets, ensuring robust model performance.
  • Identified innovative patterns and key points in Electroencephalogram (EEG) data for emotion recognition, advancing the understanding of complex brain signals.

Education

Bachelor of Science - Computer Science

Jinan University, Guangzhou, China
09.2020 - 07.2024
  • Rice Price Prediction Model: Analyzed Ministry data to develop a Cambodian rice price forecasting model using five machine learning algorithms for robust predictions.
  • Hemorrhagic Stroke Detection: Developed a high-accuracy detection system in MATLAB using segmentation techniques and SVM classification for hemorrhagic brain strokes.
  • Facial Recognition Enhancement: Tested facial recognition models with MTCNNs and integrated anti-spoof algorithms to ensure reliable performance in varied conditions.
  • Real-Time Mask Detection: Designed and implemented a mask detection solution leveraging MobileNetV2 and VGG16 architectures for efficient real-time applications.

Skills

Computer Vision

undefined

Timeline

SENIOR DATA SCIENTIST - Hattha Bank
09.2024 - Current
AI ENGINEER - Ministry Of Interior
09.2023 - 03.2024
AI ENGINEER - Neusoft Corporation
04.2023 - 07.2023
AI ENGINEER - JNU Research Lab
02.2022 - 03.2023
Jinan University - Bachelor of Science, Computer Science
09.2020 - 07.2024

Languages

Chinese (Mandarin)
Intermediate
B1
English
Upper intermediate
B2
Khmer
Proficient
C2

References

Available upon request.

SONGHIENG VANSENIOR DATA SCIENTIST