Yumo Gao

Data Analyst Intern at Finovax

Developed and deployed Python scripts using libraries BeautifulSoup, Pandas, NumPy to dynamically scrape 1,500+ ETF tickers and process large-scale financial data sets; implemented automated data quality assurance protocols; architected fault-tolerant data ingestion systems with Python (retry mechanisms and rate-limiting) to achieve 95% data completeness across diverse financial APIs; constructed end-to-end automated Python pipelines for real-time data retrieval and validation with statistical methods and visualization to generate interactive dashboards for client portfolio analysis; applied analytical techniques to assess trading strategies and explored ML-based predictive modeling for risk management.

Logistics Management Intern at Covestro Investment Co., Ltd.

Developed SQL scripts to automate consolidation and cross-checking of approximately 2,000–3,000 monthly billing receipts; collaborated with logistics partners to ensure data accuracy and consistency; used web scraping in Python to gather relevant information from various shipping documents to extract critical data about delivery delays, restrictions, and weather disruptions; applied fuzzy matching to categorize causes of delays and improve accuracy and efficiency of issue identification, enabling partners to address key problems and drive improvements.

Analytics Intern at Accenture

Conducted comprehensive research into the Chinese rubber industry, including assessing competitive landscape and pricing strategies to evaluate market-entry viability; performed web scraping with Python (BeautifulSoup) to extract 5–10 years of market data for mid-range and high-end tire segments in China; delivered insights on consumer preferences, regional demand, variations, and growth trends; created interactive visualizations in Tableau to highlight key market trends for stakeholders.