Zining Li

Master's

Business Analytics

1Token Incorporated

Intern, Data Department of Business Development

Leveraged Selenium, Xpath, and RPA tools to gather 3000+ information including LinkedIn profiles and company websites; utilized Python to clean and filter collected data; developed and put the raw data into a Redis database, enabling efficient collaboration with potential partners Rebuilt the Hubspot platform by designing standard operating procedures (SOPs), modifying properties, and creating entity models; improved data visualization process by developing a MySQL database based on Hubspot, enabling streamlined data management and analyze Applied Python and employed five new methodologies: keyword classification, business logic classification, TextCNN, TextRNN, and BERT, to accurately classify target companies and categorize companies into 17 different business types with an accuracy rate exceeding 75% Used the LangChain framework, leveraged the language model based on the OpenAI API to automate the potential client selection process