Engaged in ongoing learning and skill development with a focus on Azure Synapse Notebook, Azure Data Lake Storage (Gen2), and Power Automate. Holds six years of hands-on experience in R programming. SAP S/4 HANA and SQL language, as well as four years in econometrics modeling, specializing in trend analysis and business cycle forecasting using the ARIMA model. Proficient in data visualization tools such as Tableau, PowerBI, Excel Power-view, Excel 3D map, Excel Analysis, SAP WebBI and SAP Lumira. Excels in storytelling through data, with strong skills in interpreting and visualizing information, as well as proficiency in clustering, classification, and leveraging statistical tools for modeling, analysis, and reporting.
An Economic Analysis of Housing Market Instability and Affordability in China., Undergraduate Economic Review, Vol. 11, Iss. 1, Article 5, 2014, In EViews, processed and cleaned economic indicators and housing data across 72 cities Applying an intertemporal optimization model proposed by Aizenman and Marion (1991), quantified instability in the Chinese housing market. Visualized housing affordability using Excel Identified macroeconomic factors as significant explanatory variables to the instability of housing prices. Invited to present at the 2014 Minnesota Undergraduate Research Conference