Glassdoor Data Analyst Essential Guide

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• Web scraped 20 pages of Glassdoor using BeautifulSoup and Selenium to obtain 200 interview questions from 146 companies to create a study guide and scraped 1000 data analyst job postings to visualize trends.
• Cleaned and preprocessed data using Pandas and NumPy.
• Analyzed essential data analytics job skills with NLP techniques: Word2Vec, Topic Modeling with LDA, and Rule-Based Matching.
• Explored the data and created visualizations using Seaborn and Matplotlib.
• Developed a Support Vector Regression model to estimate data analyst salaries with a mean absolute error of $12,700.

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