Automated the monitoring and alerting for data scraping processes. Developed a Named Entity Recognition model tailored for real estate data. Implemented a text classification model for project name matching. Built and maintained a feature store for real estate data. Improved data quality by standardizing, de-duplicating, and identifying outliers, ensuring comprehensive data coverage.

Stock recommendation Customer segmentation Stock market sentiment analysis Portfolio management Customer churn prediction Stock price time series forecasting Build Business Intelligence dashboards Develop and implement data warehouse solutions

License plate and food menu detection and classification using YOLOv3. Face recognition using InsightFace. Topics and comments classification using TF-IDF, Keras, and Softmax. Vietnamese named entity recognition using CRF-suite. Other tasks include classification using transfer learning, OCR for invoices, etc.

Establish a credit risk management strategy. Establish credit limits for a variety of customers, sectors, and products, including real estate loans, car loans, consumer loans, and non-collateral loans. Classify customers into prioritized, restricted, and non-credit categories based on their 'bad rate' population and default probability.

Gather and analyze credit data for risk assessment in order to recommend credit approval or denial. Evaluate the level of risk for credit products or individual customers with credit limits over $15 million. Monitor and report on credit limits continuously. Continuously evaluate and report on credit exposure, risk tolerance, non-performing loan rate, net revenue, interest rates, etc.

Searching and advising customers about banking products and services: loans, credit card, savings, etc. Credit assessment. Checking the purpose of using loans and assessing the collateral situation of customers after disbursement.