New York, New York, United States
• Analyzed trading data using Python (Pandas) and stored results in an SQL database. • Demonstrated expertise in data collection using Python. Generated informative visualizations for diverse companies' profit data. • Implemented customized Simple Moving Average (SMA) strategies for volatile stocks.
• Assisted in establishing the industry access index, tracked programs progress, and located related risk management • Designed accommodators information statistics spreadsheet in Excel to analyze the feasibility of personal loan business
• Developed a comprehensive sales kit in Excel, analyzing data from 30+ warehouses and compiling project summaries for tender lists. • Conducted precise cohort analysis to assess revenue contribution from customers over different years. • Proactively updated market information and industry news on a weekly basis for multiple departments. • Conducted market research on top entertainment product suppliers, including SWOT analysis.