Data Science Project

Kanak Dabral
He is an undergraduate student at Vellore Institute of Technology. His goal in this mentorship program is to work on a Data Science research paper.

Kanak’s primary academic interests are Statistics and Data Science. He’s a dedicated student with great communication skills. He has strong experience working with R, MATLAB, Python. He has taken several advanced courses in Data Science, Machine Learning and Data Mining.

University admission result

★ New York University

Learning objectives

• Using R/RStudio to analyze real-world time series
• Learn the fundamentals of time series analysis using the e-Book and R package FPP2, Forecasting: Principles and Practice
• Apply multiple forecasting methods to analyze and forecast important economic time series.

What challenges did he face?

• This mentorship program has been pretty smooth sailing for Kanak.

How did our program help him?

• Kanak learnt the fundamentals of time series analysis using the e-Book and R package FPP2.
• Kanak learnt to apply multiple forecasting methods to analyze and forecast important economic time series.
• Kanak’s mentor wrote him several recommendation letters and he was later admitted to his choice of university.

Matched mentor

The mentor is 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, Kempthorne Analytics, Inc. Some of his past clients include Citibank, Colonial/Liberty Funds, American Express and Canon. Since 1995,

“I enjoyed discussing subtle details of time series modeling with Kanak. Kanak is very bright, focused and hardworking. He worked very hard on the final paper, showing persistent effort to make the paper as good as possible“

Mentor from MIT