Hello,
As an experienced professional in Python automation and data analysis, I can complete this task with precision and efficiency using Python and its libraries. My approach combines automated web scraping and data processing to gather information on high net worth individuals and populate the spreadsheet systematically.
First, I will employ Python libraries such as `requests`, `BeautifulSoup`, and `Selenium` to automate the data extraction process. Public sources like LinkedIn, business directories, and company websites will be targeted to retrieve business affiliations, past company details, and board memberships for the individuals listed. This step will be optimized to adhere to the 10-second research limit per name by prioritizing prominent and easily accessible sources.
Next, the collected data will be processed using `pandas` to clean, format, and organize it into the required structure. Afterward, the final dataset will be exported to the spreadsheet in the specified format.
'Hire Me' to receive accurate and comprehensive data while maintaining efficiency, with potential scalability for long-term collaboration.
Best Regards,
Aneesa