About

Welcome to my corner of the web! I’m Aditya Dahiya, an IAS (Indian Administrative Service) officer navigating the intricate labyrinth of the Indian Administrative Service in the Government of Haryana. While my day job might involve more paperwork than I care to admit, my true passion lies in the world of health data visualization.

My journey began with a stethoscope around my neck and a medical degree from the AIIMS, New Delhi, earned from 2005 to 2010. But in 2011, I decided to swap the scrubs for a suit and tie and jumped headfirst into the world of civil service. Fast forward to 2021-22, and I found myself on the hallowed grounds of Harvard University, where I earned an MPH degree, because why not?

Now, you might wonder how someone with a day job in bureaucracy and a penchant for health data visualization ended up creating solutions for the first edition of “An Introduction to Statistical Learning: With Applications in R.” Well, my secret lies in seizing those precious moments of free time. And during one such moment, I embarked on a journey of statistical enlightenment by enrolling in Johns Hopkins University’s 140.644.01 - Statistical Machine Learning course.

The result? A treasure trove of solutions that I’m delighted to share with you. Whether you’re a fellow learner, an aspiring statistician, or just a curious soul, this website is your go-to resource for unraveling the mysteries of statistical learning, sprinkled with a dash of wit and a pinch of my unique perspective.

So, join me on this data-driven adventure at LinkedIn or shoot me an email. Even bureaucrats can have a little statistical swagger!

Education

Harvard University | Boston, MA MPH in Global Health | Aug 2021 - May 2022

All India Institute of Medical Sciences | New Delhi, India MBBS in Medicine | Aug 2005-Dec 2010

Indira Gandhi National Open University | New Delhi, India MA in Public Policy | Jan 2012 - Dec 2013

Experience

Indian Administrative Service | Director | Aug 2011 - present

Neuro-Radiology, AIIMS New Delhi | Junior Resident Doctor | Jan 2011 - Aug 2011