Leading a data science team in banking, using expertise in data mining, statistical analysis, and AI/Machine Learning to create value for the business.
Solving wide range of business problem regarding Retail & Corporate banking, such as customer acquisition, cross/up-selling, customer segmentation, recommendation engine, customer churn prevention, customer transaction purpose detection using NLP.
Email: truongnguyen.max@gmail.com
Mobile: +84 358 145 253
Linkedin: linkedin.com/truongnguyenhai
Truong Nguyen Hai
Head of Data Science
VPBank
Cross-selling for all banking products/services by using Machine Learning propensity models
Uplifted conversion rate by at least 5 times in average
Saved billions VND of marketing campaign costs
Predict customer transaction purpose base on their fund transfers by using NLP & H2O.AI
Identified purpose of more than 1 million transfers per month
Predict credit card churn by using Machine Learning model
Reduced credit card churn rate by 20% (annually)
Credit card customer segmentation using K-Means clustering
Predict next customer spending category for Credit Card by using recommendation system
Increased card usages by customization suitable offers for each relevant customer
Helped to retain credit card customers
Predict next customer transaction type for Digital Banking by using recommendation system
Increase customer Digital banking transactions by customization suitable campaigns for each relevant customer
Identify number of potential customers for cross-selling with customer profile
Monitor performance of cross-selling models automatically
Analyze banking branches, ATMs, CDMs using spatial analytics
Detect customer transaction purpose base on their transfers
