Zekai Li

Researched FinTech applications in Chinese companies, shaping course content to reflect industry trends Developed and organized course materials by synthesizing market reports, academic resources, and case studies, ensuring a robust and comprehensive curriculum

Organized mid-year corporate information exchange meetings for the Food & Beverage team, participated in company meetings, prepared questions, and facilitated discussions to drive meeting agendas Updated financial data for multiple food and beverage companies during the mid-year report release period, built financial models, and supported the publication of the mid-year report commentary Authored industry insights and investment recommendations; authored research report on Kuaijishan Huangjiu

Recorded minutes in team meetings and supported cross-functional information transparency Conducted in-depth research on the robotics industry, increasing research output. Authored stock analysis reports that influenced strategic investment decisions, enhancing portfolio performance and client returns; authored comprehensive research report on Dingzhi Technology, providing key market insights and risk assessments that informed investor decisions and increased capital investment.

Utilized Python and Pandas to enhance data management and analysis, boosting data processing efficiency and reducing operational time; leveraged the Pandas library for data cleaning and preprocessing, improving data quality for model development and enhancing prediction accuracy Constructed machine learning models to identify and filter spam calls, increasing detection precision and decreasing spam call rates , which in turn improved customer satisfaction Developed skills in data visualization, machine learning, and model optimization