Ho Chi Minh City, Vietnam
Experienced in data analysis and business insight with a demonstrated history of working in the performance consulting, financial services and payroll industries. Skilled in Databases, Microsoft Access, SQL, Power BI, R Studio, Visual Basic for Applications (VBA), and Leadership. Strong business development professional with a Master of Commerce by Thesis focused in Economics, Finance, Statistics, Econometrics.
- Evaluate and analyze customer data from internal and external sources based on both financial and non-financial criteria - Develop a framework of customer segmentation and customer lifetime value throughout customer lifecycle - Build management reports to monitor performance of customer segments - Initiate and develop strategies to promote acquisition rate of new customers, reduce churn rate of existing customers and enhance customer experience - Develop tools and systems to manage customer data (CRM, CDP) and loyalty customer programs
• Manage the reports/ dashboards to provide insights to all business units such as the management of Risk, Fraud, Collections, B2B Sales, B2C Sales, Marketing, Logistics and Operations • Manage the design, development and maintenance of credit scorecards using internal data and external ‘Big Data’. • Manage a team to design, develop and evaluate Machine Learning Pipelines solutions embracing the latest open source and cloud technologies like Python, R, AWS • Manage the deployment and operation of a data warehouse and business intelligence platform
Oversee analytic operations of digital lending application. Guide the collection, analysis, and interpretation of data from customer behavior through customer journey to improve user experience and support product development • Establish target benchmark and monitor business performance including conversion, P&L, risk, operations, and systems • Initiate data analysis projects • Provide insights and actionable recommendations based on data interpretation • Design and launch tests of structuring control group and set targets and ensure delivery • Lead and manage a team of data analysts
• Provide analytical support across workstreams initiatives to identify the results of rapid cycle implementations in public hospitals • Examine systems and recommend methodologies to improve data and its usage • Design and synthesize reports and metrics, and document process flows • Develop statistical models for predicting future volume of patients to Emergency Department • Present analysis results, operational data and forecasts in written and verbal formats to senior leadership • Recommend best approaches to measure KPIs.