Led the development and maintenance of an R package that automates the retrieval, cleaning, standardizing, and quality assurance reporting of survey and web user activity data in JSON format and generates reports and visualizationsDeveloped a parameterized ETL pipeline on BitBucket that obtains and transforms customer survey and workflow management data from APIs and updates dashboards using PythonBuilt hierarchical clustering and random forest models to classify customers and presented to clientsBuilt client- and public-facing webpages with interactive data visualizations using d3.js

Analyzed emerging norms of global data and internet governance and regulatory risks faced by American technology firms in China, India and Southeast AsiaGathered industry publications and policy documents and assessed China’s regulatory environments for construction, healthcare,hospitality and energy industriesDrafted reports and presentation decks on global macro-economic trends and relevant national policies for senior colleagues and client executives

Communicated with procurement team to identify goals of sales forecast and drafted project plans Applied Fourier transforms to de-trended and de-seasonalize time series data and trained machine learning algorithms including Neural Network, Random Forest, Ridge, LASSO and Elastic Net Conducted robustness checks across different purchasing strategies and transportation scenarios Combined traditional and machine learning models and cut forecast RMSE by approximately half Visualized forecast results and composed reusable markdown files for senior management

Gathered, analyzed and documented literature and historical surveys on political attitudes, national identity and religious practice in East and Southeast Asia and participated in the design of public opinion questionnaires