• Utilized statistical methods and machine learning algorithms to analyze financial data, evaluated portfolio risk and return, made market predictions, and presented data via data visualization techniques. • Optimized program performance by researching multi-thread processing and efficient algorithms and selecting optimization strategies to accelerate data processing speed; addressed interoperability issues between different software and achieved data interaction and linkage.• Utilized Selenium to scrape important information from significant websites, handling millions of data points. Ensured high robustness and efficiency by introducing an automatic error correction mechanism and multi-threading.• Scraped job data from TOP500 companies across the U.S. and imported it into a MATLAB model for in-depth analysis.