Salary Estimation in different section of Data Science Jobs

• Created a tool that estimates data science salaries to help data scientists negotiate their income when they get a job.
• Scraped over 1000 job descriptions from glassdoor using python and selenium
• Engineered features from the text of each job description to quantify the value companies put on python, excel, aws, and spark.
• Optimized Linear, Lasso, and Random Forest Regressors using GridsearchCV to reach the best model.
• Built a client facing API using flask

Resources

Python Version: 3.7
Packages: pandas, numpy, sklearn, matplotlib, seaborn, selenium, flask, json, pickle Scraper Github: https://github.com/arapfaik/scraping-glassdoor-selenium
Scraper Article: https://towardsdatascience.com/selenium-tutorial-scraping-glassdoor-com-in-10-minutes-3d0915c6d905
Setting Virtual Env: https://www.freecodecamp.org/news/how-to-setup-virtual-environments-in-python/

Credits

• https://github.com/PlayingNumbers
• https://www.youtube.com/playlist?list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t