What challenges did she face?

• She has good knowledge in Python but needed a robust research to put into her portfolio.

Matched professor:

A professor teaching Statistics and Financial Mathematics. He has been providing consulting services in financial and statistical analytics to a wide range of institutions through his company

How did our program help her?

• The mentor provided guidance on implementing Python and R together to specify time series models, which allowed the student to compute standard errors of coefficient estimates and permit computation of p-values.
• She was able to analyze time series stock exchange and gained a deeper understanding into ARIMA models.

Below is part of an example work done during the program: