Feb. 13, 2024, 9:59 p.m. | Kaggle

Kaggle www.youtube.com

About the project:
Zilin worked with a large dataset sourced from Glassdoor, containing user reviews and rankings on different positions from various industries.
Their aim was to explore interesting company-wise and role-wise patterns and trends in the job market, predict ratings based on reviews using natural language processing techniques, and build a user interface for the project.

About Zilin: Zilin has an undergraduate degree in finance. Currently, they are a master student majoring in Business Analytics at Columbia University. They …

aim build dataset explore industries job job market kaggle language language processing natural natural language natural language processing patterns presentation processing project rankings ratings reviews role trends wise

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne