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Name: Levent Bingol
Type: User
Name: Levent Bingol
Type: User
According to a 2015 study on job seeking behavior by Pew Research Center, 79% of the job seekers utilized the online resources for their most recent employment (Aaron ,2015). This study result suggests that the online job boards become the major channel for job seekers in the digital era. However, another finding in the study indicates that most of the job seekers fail to match their experiences with the job requirements and spend hours on job board to apply job which is not seen to be suitable (Aaron, 2015). Additionally, Dr. John Sullivan conducted a similar research in 2013 which highlighted some interesting aspects: on average, 250 resumes are received for each job opening by the major organizations, more than 50% of the resumes does not meet the minimum requirement (John, 2013). This means the time our recruiter spends on these 50% of the resumes for each job is wasted. From both candidate and recruiter’s points of view, the phenomenon may suggest that the traditional online job board does not seem to simplify the job application process or reduce the effort required from both parties. With this challenge getting bigger and bigger, the demand to automate the resume - job matching process is getting increased as well. For instance, the content - based recommendation system (CBR) is introduced to analyze the job description to identify the potential area of interest to the job seekers (Shiqiang et al., 2016). To apply the concept in Singapore local context, our team has conducted a text mining project based on the data acquired from the major online job board in Singapore. The primary objective of this project is to create a machine learning model to accelerate the job - resume matching process. The detail of the text mining methodology and results are presented in the following sections.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
TensorFlow code and pre-trained models for BERT
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Notebook for quick search
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Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Analyzing CV/Resume of employees using NLP for project distribution based on skills and experience.
Use **AI** to Compare the CV to the job description to beat the ATS (Applicant tracking systems) in order to higher your chances to get the job
Data Analysis with Python. Data Wrangling, Exploratory Analysis, Model Development, Model Evaluation, Refinement.
Cheat Sheets
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Data Science Methodology with Python
Several Examples of Data visualization with Python
Web scraper & HR resume analytics in simple Python script.
Face Recognition from Newspapers(image format)
The Python micro framework for building web applications.
gitpages trials
12 Machine Learning Algorithm and a final project with Python
Python code for common Machine Learning Algorithms
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Python package for dynamic system estimation of time series
Getting start with PySpark and MLlib
Python for Data Science (Fake Cover Game)
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Data-Driven Documents codes.
China tencent open source team.