Data Engineering & Analytics
Strategic Management Consulting
Resume Parsing and Semantic Search Project
Our client is Turkey’s leading investment holding company
Company receives 3 million job applications each year - with such a high volume, a thorough review of each resume/profile is challenging and qualified applicants may be overlooked.
The resume review process is highly subjective, depending heavily upon the HR specialists' area of expertise and level of experience.
Implemented a process to import resume raw-data from various recruitment application portals and extract useful information
Stored parsed resumes from various sources in a centralized database for querying and ranking
Capability to Query and Rank resumes based on predefined criteria and take actions
Capability to Search and score resumes based on semantic similarity between words and not just text
Python, Flask, Gunicorn, Tensorflow, MLFlow, MS Azure, .net core, RabbitMq, Elasticsearch, MS SQL
Reduce data entry time
Boost in candidate experience