• Exploratory data analysis: Basic and advanced

• Data preparation: Cleaning and transformation

• Handling huge dataset (only e commerce and email marketing data) (structured)

• Build algorithms and design experiments to merge, manage and interrogate data

• Use machine learning tools and statistical techniques to produce solutions to problems

• Create clear reports that tell compelling stories about business

• Model building: Design and develop statistics models that can solve the use case

• Model evaluation: use diagnostics of developed models to accept or reject the model.

• Stay curious and enthusiastic about using algorithms to solve problems