Philadelphia, Pennsylvania, United States
Building an agent-native optimization platform focused on brand authority, ranking, and market voice in agent-driven search.
utilized web scraping to collect articles and metadata, managed and visualized data in Excel, built automated programs with Python and developed a new website for academic publication storage and display.
Contributed to IPO projects by guiding issuers, organizing listing materials, drafting key documents, and supporting prospectus submissions. Gained expertise in IPO processes by managing comfort letter drafts, conducting site visits, and performing comprehensive accounting checks, including sales and procurement cycles, cut-off testing, and transaction flow verification. Proficient in Python for data analysis, with strong skills in using Pandas and NumPy. Skilled in Excel functions, including various sorting methods, formulas, pivot tables, data visualization, and macros.
Systematically studied the structure of financial markets, familiarized with financial product classifications and basic concepts, mastered fundamental methods of stock analysis and companies analysis, participating in securities market research and product promotion. Engaged in product sales training and hands-on financial product sales; served as class leader during the internship training period, achieving top rank among peers and recognized as an outstanding intern (top 1%).