rahulraghatate / jobtitle_to_function_mapping_challenge

Job_Portal/HR analytics based on job_titles for exploring major Job Functions, Categories, Levels and utilize the results to improvise job portal granularity and outreach.

jobtitle_to_function_mapping_challenge

Workflow

• Input File : titles.txt

• Output File: 'Job_titles_with_func_&_level.txt'

• Wordcloud for Unigrams and Bigrams

  • WordCloud_for_frequent_words.png
  • WordCloud_Bigrams_frequent_words.png

• Lookup : lookups.ipynb (update categories, functions, levels, 'abbrevations') Saved_files:

  • abbv_transforms.pkl
  • Job_Functions.pkl
  • Job_Levels.pkl

• Run/Analyse job_title_to_function.ipynb (jupyter notebook)

• Future_Work

  • Using n-gram model improve lookups by creating new job_function, job_levels
  • Need to create labelled dataset(label first 100)
  • Plot High Dimensional Vectors(t-sne, LDA,CMDS)
  • Analyze Word Embedding and supervised/unsupervised clustering
  • Integrate ONET database for SOC codes and other features(Work Functions, Role Description)