• Developed and implemented NLP models to analyze online sentiment news data, providing prediction methodology into macroeconomic indicators.• Cleaned and preprocessed industry web-crawled data using Python, defined and tested key metrics, and designed methods of calculating business expansion index.• Verified the effectiveness and updates of technology industry data on historical records, providing summary and enhancement reports to the data scraping team.

• Cleaned consumption data for various store categories within a 5-kilometer commercial area using Excel, employing VLOOKUP to remove duplicates and fill in missing values.• Implemented data analysis and visualization, creating pivot tables for quantitative analysis on store categories and consumer profiles, leading to insights on regional consumption and consumer behavior.• Represented on-site visits to projects, gathering firsthand data and market opinions, identifying business problems and shaping market strategy reports.

• Led data-driven analysis of asset allocation projects in 11 countries, extracting key financial metrics from 20+ financial reports to predict leading industries.• Designed industry-specific analysis to generate profitable asset allocation reports for different groups of people.