• Building Automated Valuation Method (AVM) for housing market in U.S.• Building analytical tools for internal team members use to improve appraisal review process using R-Shiny;• Collaborating with Software Engineer team for model deployment; writing Python classes to host model objects and test units using modules such as pandas and scikit-learn; • Collaborating with ETL for data cleaning process, and helping engineering team understand Appraisal report XML structures and define table schema for modeling use;

• Performed factor analysis for various ad-hoc requests; used dimension reduction techniques such as Lasso and PCA to find out the primary influential factors; • Performed descriptive analysis based on ad-hoc requests, and automated Excel results using VBA; • Extracted data from SQL database to build various KPIs to measure vendor historical performance;• Visualized analytical findings through various tools such as Excel and R (ggplot, R-markdown), and communicated analytical findings with senior leaderships.