• Developed and implemented code changes to establish and improve models for analyzing data according to specific project requirements. Utilized Git for version control and collaborated with team members using Agile methodologies.• Applied machine learning algorithms, EDA, ETL processes, and statistical techniques to develop predictive models.• Implemented data warehousing solutions using Snowflake and optimized automatic data processing workflows for high performance, assisting in managing client’s targeted price database with the use of GCP, WSL, Docker, and Python.• Leveraged data visualization tools such as Tableau and Power BI to generate insights and dashboards, presenting complex data sets in a user-friendly and accessible format to support effective decision-making.

• Led the analysis of financial data for over 5 clients to project annual returns on cash value insurance investments, utilizing indices like S&P 500, and collaborated with cross-functional teams to understand client needs and data ambiguity, deriving actionable insights for business operations.• Conducted marketing research with a focus on B2B strategies and managed data from social media platforms, helping in developing targeted client relationship management approaches, and suggested 2 marketing strategies for brand promotion.• Utilized SQL to analyze and interpret data sets, revealing patterns, trends, and associations related to client interactions.• Demonstrated consistent follow-up, organizational, and prioritization skills in a dynamic team environment, ensuring effective data analysis and client reporting.

• Interacted with clients to oversee and support the process of trade financing transactions among the client enterprises, suppliers, and banks, achieving 98% customer satisfaction and the 2020 BAD Issuance and Discounting target with the team ahead of schedule.• Calculated the daily available trading amount and quoted rates, collaborating with the Risk Control and Background Processing teams.• Established a visually diagnostic model to offer a weekly pipeline review of all proceeding of negotiations with customers and in-process trades, and used it to develop the analysis report with the APAC GB team to support the bi-weekly top management meeting in Greater China that saved at least 20% of reviewing time within the team.

• Performed analysis and structured tax-related statements for senior managers, including the data analysis based on the dataset from tax administration, the corporate tax letter, and how new regulations announced in China would affect clients.• Generated tax issues from clients concerning special expense deductions for their personal income tax using Deloitte Tax Intelligent Platform, and furnished the specific proposals, reducing complaint cases by 48%.