Nguyễn Anh Tú

Enabled democratization of data and AI for low-code/no-code users, accelerating model iterations and boosting performance through foundational platform tools. Developed high-impact predictive models in fraud detection, credit-risk scoring, and income estimation, enhancing risk controls and decision accuracy.

Led a team of 4 Data Scientists and Data Engineers to build end-to-end ML solutions in real estate, driving automated insights from unstructured property data. Standardized and cleansed data from human input, web scrapes, and legacy databases—applying text normalization, de-duplication and outlier detection to ensure production-ready datasets and reduce downstream errors.

Developed a churn prediction model as part of the customer loyalty program, reducing the monthly churn rate from 2% to 1.5%. Developed the initial group of models to help customers trade more effectively, hence increase company's revenue.

Completed an internship focused on AI, specializing in NLP and computer vision. Key projects included license plate and food menu detection and classification, face recognition, topic/comment classification, and invoice OCR.

Developed a credit risk management strategy, including credit limits for various sectors and products. Conducted credit data analysis to identify trends and insights that inform lending decisions and risk management strategies.

Prospected and advised customers on banking products and services, including loans, credit cards, savings accounts, and more. Conducted comprehensive credit assessments to evaluate the creditworthiness of individual and business customers.

Completed a Master's degree focusing on advanced banking and finance principles. Gained expertise in financial markets, risk management, and investment strategies.

Acquired foundational knowledge in banking and finance, including financial analysis, economic principles, and banking operations. Developed skills in financial product assessment and customer advisory.