• Served as an on-site vendor for one of the world’s largest technology companies, providing end-to-end localization and linguistic QA services to ensure accurate, culturally relevant content across multiple platforms and products.• Implemented Python scripts to automate linguistic data processing and error detection, reducing manual efforts by 30% and increasing overall testing accuracy.• Applied statistical analysis to evaluate linguistic data trends, identifying key areas for improvement, which led to a 15% reduction in error rates across multiple languages.

• Developed Python code to apply Word2Vec, PCA, k-means clustering, and KNN for column name embedding and classification on a hospital’s database, improving organization, classification, and model accuracy by considering both column names and values.• Created a value matching method for column classification in the hospital’s database, implementing class prediction and class voting techniques, resulting in accurate class prediction based on user input with matching ratios.

• Conducted an in-depth analysis of a national survey dataset, utilizing Stata and Tableau on over 50,000 data points to identify gender issue trends within Texas focusing on regional disparities for policy development contributing to the publication of the final report.• Utilized Stata for data extraction focusing on Texas respondents and merged with zip code-region data for accurate regional assignment, enhancing the precision of our gender issue trend analysis.• Applied Tableau to create dynamic data visualizations and descriptive statistics, driving insightful weekly discussions on health policy implications and informing strategic decisions for policy adjustments.

Project title: Growth Strategies for Platforms: Product Renewal and Portfolio Complexity in Derivative Exchanges.• Executed advanced econometric models, including propensity score matching and instrumental variables regression, using Python to dissect the complex relationship in derivative exchanges, yielding insights that informed strategic decision-making for platform growth.

Project title: Could High Patient Autonomy Backfire? An Empirical Analysis of the Telehealth Service Adoption Decision• Implemented web scraping to collect extensive data from the ABI database, integrating over 10,000 records into an SQL environment for advanced querying and analysis.• Built Logit models in R to identify factors influencing adoption decisions, illuminated key adoption trends, significantly enhancing understanding of telehealth dynamics.Project title: Two Paths to the State of Flow: An Investigation of the Effects of challenge-skill Balance and Vividness on the Flow Experience Through Gamification• Led the design and execution phases, successfully recruiting 200 participants for a distinct psychology experiment on gamification flow determinants.• Utilized R for Chi-square and ANOVA tests, data-driven insights that have the potential to revolutionize user experience strategies in digital platforms.

• Leveraged data analysis skills to dissect the financial report of "Da Bei Nong Technology Corporation," identifying key financial indicators that led to a 15% increase in revenue and a 10% reduction in costs using Python for data manipulation and Tableau for data visualization.