Data scientist/ AI engineer with 3 years of experience in working with data warehouse, building data-intensive applications, developing segmentation, detection, recommendation and prediction models, proficient in process for data mining. Capable of creating, developing, testing and deploying highly adaptive diverse services to mutate business and functional qualifications into substantial deliverables.Company Achievement:- Gold (10/2023) and Silver Award (09/2023) for Innovation Program FPT Telecom - Top most productive employees of TP bank in 2022.- 2 research papers published on Information & Communications Publishing House; Finance publishing house.- Top 5 (National Finals) Worldquant's International Quant ChamionshipDeploymented Use Cases:- Network traffic and upgrade bandwidth prediction.- Device errors: source, olt reboot prediction.- Churn prediction for CASA & e-bank accounts.- Credit card closing prediction.- Customer segmentation to cross-selling Saving products.- Credit scorecard to assess the customer's ability to pay.Automation tools and dashboards:- Create a app automatically aggregates financial statement data, looks up, warning ... depending on staff authority.- Crawl stock data of depository stocks and mortgages, optimize warning thresholds & build dashboard.Research and publication:- The dynamic relationship of COVID-19 pandemic & financial markets volatility. Evidence from GARCH family models.- Social relationships and household consumption in the presence of exogenous shock.