This project is about a tool i created which can be used to estimate data analyst salaries. The tool can be used by data analysts to negotiate their income when they get new jobs. The tool features the expected data analyst skills and show how companies value them for a certain income. I used Python, Tableau, AWS, Spark, R, SQL and as common skills expected by most companies. Made use of Random Forest, Lasso and Linear Regressors using GridsearchCV to get the best model for the tool.

Made recommendations on How can Cyclistic company convert casual riders/users to annual riders/members? I defined the problem and developed a business task based on the company’s problem statement. Data was collected from Motivate International Inc. Cleaned the data using R language and Excel. Performed descriptive analysis. Realised that casual users have most rides during weekends where tourism promotions are. Noticed that member/annual users have been taking more rides than casual members.