• Overseeing all finance-related matters with Huawei's largest carrier network client in Mexico.• Credit Risk Management: Devised emergency plans in response to canceled factoring credit lines and excessive credit exposure; aligned on financing and shipment control schemes with regional leaders' approval, achieving a 30% reduction in credit risk exposure within three months of operation.• Collection Enhancement: Designed tailored customer collection strategies based on cash flow projections; introduced a user receivable trust to improve the timeliness of payments.

• Executed monthly reconciliation and analysis for pre-installation, music, and third-party transactions, proactively resolving posting issues to ensure 100% accuracy.• Strategically resolved HKD 200,000 outstanding receivables with two clients through meticulous reconciliation and customized payment plans.• Analyzed accounting balances, successfully clearing USD 1 million in historical withheld payments and unreconciled overseas manual channel amounts; devised streamlined clearance protocols and enhanced detailed account data management.• Designed team capacity enhancement and accounting proficiency programs; delivered 14 comprehensive operation empowerment courses for new members.

Statistical Modeling for Hospital Performance Evaluations• Led statistical modeling initiatives for hospital performance evaluations; employed regression, classification, and variable selection models to craft robust evaluation methodologies, informing government decisions on funding allocations.Diabetes Medicine Outcomes Research• Evaluated efficacy and compared performance of four diabetes medications within a general cohort for a pharmaceutical company, delivering applicable guidance for their future medical research.• Held bi-weekly workshops to elevate colleagues’ proficiency in coding, modeling, and data visualization techniques.

Heart Attack and Heart Failure Data Research• Performed longitudinal analysis using mixed models to compare health status within different types of heart attack and made recommendations to hospitals regarding resource distribution optimization and treatment efficiency.• Cleaned 73 million records of raw data using R by preprocessing categorical variables, transforming distribution of numerical variables, and imputing missing values.• Developed a reproducible algorithm to evaluate the misconduct of the medical procedures; increased the precision of estimated time range by 9%.COVID-19 Visualization with Medicare and Medicaid Data• Developed three COVID-19 interactive screening visualization apps in R Shiny, incorporating four times more information and analytical insights to the dashboard compared to the original visualization method.

• Conducted analysis to estimate macroeconomic indicators by running feature selections, adding proper interaction variables, model selection, and visualizing the key insights in R• Built 2 predictive models (linear regression) to predict the macroeconomic factors with adjusted R^2 0.73, RMSE 0.16, increase the result accuracy by 6%• Presented key results to managers for better investment decision-making, increasing 15% efficiency

• Acquired Daily/Monthly Active User data, cleaned and standardized the data, conducted correlation analysis to detect abnormal activities and uncovered suspicious trends• Scoped data of 30+ companies' management systems, analyzed pros and cons in various systems, collaborated with 4 co-workers to redesign and implement a new system, resulting in an increase of 8% efficiency