Shih-Kai Hung

Experience

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  第一金證券股份有限公司

  Aug 2018 - Aug 2018

  Summer Intern, Investment Banking Department

  ● Leveraged exceptional analytical skills to conduct research and develop a detailed 40-page market report, guiding investment decisions for the cosmetic industry, focusing on a niche startup's 10-year DCF valuation model.● Analyzed data to project a 24-month P&L forecast to calculate the optimal capital structure, aiding finance planning and negotiations. Devised a strategic equity structure to align the interests of both founders and potential investors, optimizing long-term growth potential. Show less

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  Gies College of Business - University of Illinois Urbana-Champaign

  Mar 2023 - now

  Course Assistant

  ● Enthusiastically facilitated academic engagement for 600+ students across six core courses, enhancing the learning experience. Employed excellent interpersonal skills to collaborate with 10+ Professors to streamline instructional delivery, contributing to an optimized educational environment.● Applied rigorous attention to detail in grading assignments for iMBA & iMSA students with flexible scheduling, providing timely and constructive feedback to support academic performance in finance and accounting. Show less

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  未來流通研究所 MIRAI Business Research Institute

  Jun 2023 - Aug 2023

  Research Analyst Intern

  ● Created and implemented the first NLP database for APAC retail and logistics sectors to improve data-driven decisions. Analyzed APAC retail and logistics operations with human insights to help corporates in decision-making.● Conducted in-depth research on 50 APAC retail and logistics companies, providing a robust analytical foundation. Covered: Seven & i, Sea, Isetan Mitsukoshi, GS, E-MART, SHINSEGAE, Central Retail, Coupang, PT Matahari, Nippon Express, Yamato, LOGISTEED, CJ Logistics, and Lx Pantos. Show less

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  REX Mundi Consulting

  Aug 2023 - Dec 2023

  Practicum Analyst

  ● Utilized data science knowledge to clean and transform financial data from Bloomberg and FRED for optimized data analysis, rigorously selecting variables to boost financial modeling workflows and optimizations.● Leveraged quantitative finance and statistics to develop a Python-based Random Forests Model for S&P 500 predictions and designed an automated data cleansing script with risk management functions, enhancing management and updates for future users.