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automated-job-resume-matching-solution

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.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

bert

TensorFlow code and pre-trained models for BERT

bokeh-python-visualization

A Bokeh project developed for learning and teaching Bokeh interactive plotting!

coursera-html-2

coursera-uw-machine-learning-specialization

Notebook for quick search

coursera_capstone

This repository will be used for Coursera_Capstone Project for "The Battle of Neighborhood"

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

cv-analyzer

Analyzing CV/Resume of employees using NLP for project distribution based on skills and experience.

cv-compare

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 Analysis with Python. Data Wrangling, Exploratory Analysis, Model Development, Model Evaluation, Refinement.

data-science--cheat-sheet

Cheat Sheets

data-science-hacks

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

data-science-methodology

Data Science Methodology with Python

data-visualization-with-python

Several Examples of Data visualization with Python

ds-hr-helper

Web scraper & HR resume analytics in simple Python script.

face-recognition

Face Recognition from Newspapers(image format)

flask

The Python micro framework for building web applications.

html-javascript

gitpages trials

machine-learning-with-python

12 Machine Learning Algorithm and a final project with Python

machine-learning-with-python-1

Python code for common Machine Learning Algorithms

ml-classification-loan-payment-prediction-

This project solves loan payment prediction with several classification algorithms with several accuracy and evaluation levels. I use the following machine Learning algorithms with Python to get insight on the issue. K Nearest Neighbor(KNN) Decision Tree Support Vector Machine Logistic Regression

my-courses

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

pbpython

Code, Notebooks and Examples from Practical Business Python

py4e

Web site for www.py4e.com and source to the Python 3.0 textbook

pydse

Python package for dynamic system estimation of time series

pyspark-and-mllib

Getting start with PySpark and MLlib

python-for-data-analysis

Python for Data Science (Fake Cover Game)

python-for-everybody-py4e-exercise

exercise