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Know Your Worth: Build A Job Salary Estimator

IntermediateGuided Project

Want to know how much a data science job pays? Use our cutting-edge model that utilizes text mining and BERT to estimate salary from job posting descriptions. Simply copy and paste the job description to get your estimate. Say goodbye to hours of research; our model will give you the information you need quickly and easily.

4.2 (17 Reviews)

Language

  • English

Topic

  • Data Science

Industries

  • Information Technology

Enrollment Count

  • 170

Skills You Will Learn

  • Python, Machine Learning, Deep Learning, Regression, Text Preprocessing

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 45 min

Platform

  • SkillsNetwork

Last Update

  • May 11, 2025
About this Guided Project
Have you ever wondered how much that dream data job you've been eyeing will pay? Well, wonder no more! In this cutting-edge project, we harness the power of state-of-the-art technology to give you an estimate of the average salary for a given data science job posting description.

We utilize text mining techniques to clean and vectorize the data, using the BERT model to extract relevant information. Then, we design a deep neural network for training and testing. The end result? A powerful model that can give you an estimate of a job's salary just by copying and pasting the job description. Say goodbye to hours of scouring job boards and salary calculators - with our model, you'll have the information you need at your fingertips in no time.

A Look at the Project Ahead

By completing this project you will able to
    1. Prepare text for analysis through various stages
    2. Vectorize text for ML tasks using state-of-the-art NLP models (the BERT model for embeddings)
    3. Design and fit deep neural network model  
    4. Use the model for the new data

What You'll Need

A little background in python, and a browser.

Instructors

Sina Nazeri

Data Scientist at IBM

I am grateful to have had the opportunity to work as a Research Associate, Ph.D., and IBM Data Scientist. Through my work, I have gained experience in unraveling complex data structures to extract insights and provide valuable guidance.

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Joseph Santarcangelo

Senior Data Scientist at IBM

Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.

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Contributors

Rav Ahuja

Global Program Director, IBM Skills Network

Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.

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Sheng-Kai Chen

Data Scientist

Sheng-Kai Chen is a graduate student at the University of Toronto, concentrating on Information Systems & Design. Having several experiences analyzing data for retail stores and designing small software for small businesses. Sheng-Kai was inspired to shift toward answering new challenges with machine learning and new technics.

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