Jobster.io
Zilin Wang is a skilled Data Analyst currently working at Jobster.io since January 2022, where responsibilities include constructing a standardized data warehouse, building an ETL pipeline on GCP, and managing project workflows. Previous experience includes a brief tenure at PwC Canada, supporting the launch of Hyundai's IONIQ5 by developing market strategies and conducting in-depth industry research. Zilin also completed notable projects during academic tenure at Ryerson University, such as a customer churn analysis and a restaurant recommendation system, both leveraging Python for data processing and modeling. Earlier professional experience includes working at Easy Career Consulting Inc., where Zilin collaborated on project management, data transformation, and content distribution. Zilin holds a Bachelor's degree in Aerospace Engineering and certifications in Practical Data Science and Data Analytics from Ryerson University and the G. Raymond Chang School.
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Jobster.io
Recruiting is like dating, it is hard to find the right match. Jobster.io is an NLP-based resume screening tool to identify potential job candidates and rank them based on defined sets of matching criteria extracted from job postings.Jobster.io is an Artificial Intelligence platform that uses the latest technologies (Machine Learning, NaturalLanguage Processing, Knowledge Map, Predictive Analytics) to connect the right people to the right jobs, saving time for both the candidates and the recruiters. Jobster reviews 1000 resumes in 10 seconds, helping to quickly narrow down options to find the best matches between job openings and applicants; it then automatically identifies and reaches out to high-match candidates. Jobster’s AI is continually learning users’ preferences in order to deliver relevant, high-quality results.