Data scientists can expect to spend up to 80% of their time cleaning data. This is a huge pain point.At IBM,I used my skills to reduce that time to a huge extent.

Another important aspect of data science is exploratory data analysis (EDA).This process involves generating questions, with the expertise I got I successfully adopted this at HCL.

Interactive data visualizations include tools such as dashboards.These are useful for both data science teams, and more business-oriented end-users.With this technique,Tata Motors are analysing their data more properly