This is the home base of Sandeep Rajput. The industry I work in keeps changing names; a useful beacon is to look for where Technology, Machine learning, Statistics, Economics and People intersect: essentially complex systems. I am a firm believer in the excellent utility of Empirical Research in unconvering and creating business value.
In the past two decades, I've had several coigns of vantage on technology and information radically changing our world. In the age of Big Data, science is crucial since purported information grows larger faster than Moore's law indicate for computing ability. And as I said, the names keep on changing, but the underlying world perhaps not as much.
At various times I have been trained as a Chemical Engineer, a Statistician, an Environmental Scientist and peripherally as a Physicist. This site contains information about me, my Resume and Publications from my time in academia when I researched Nonlinear dynamics and chaos.
If you are curious, I was born and raised in India and currently live in Bellevue, Washington. My current employment is as Chief Data Scientist for Infosys. This is my personal website though, and everything contained herein is my opinion alone. Thank you for visiting.
I've been fascinated how humans interact with their environment that is being accessed more and more through interfaces and devices. In particular it is very intriguing how their intent, often vague, varies over time, geographical location and other dimensions of space and existence. Considered from the molecular lens, isn't it all diffusion? After all the diffusion coefficient is the variance of our measurements in transportation. And to complete the circle, diffusion over a dynamic network can be viewed in terms of graph theory or percolation theory rather. That leads us too far afield though.
There is a fundamental question first! Where do we draw the boundary in our determination of the complexity? The Second Law of Thermodynamics is a good place to start. Some things just should not be possible, and some become possible only in a certain configuration. That is a critical question for Economists today, with national economies being rescued regularly and fiscal cliffs breached routinely and conspicuously.
Yet, not everything has to be so complex. Were it so, humanity would not have made through the bottlenecks such as the perilous passage through Beringia, as is widely believed. As the French say, plus que ça change, plus c'est la même and so it is with big data, where 1,234,567,890,123 measurements amount to no more than 2.4 degrees of freedom. Is big always profound? Not really, as any study of self-organizing networks reveals.
|Who are you, Anyway?|
On a lighter and more personal note, I am a scientist by training who has given himself a liberal arts education over the years. Call me a "buffet-style intellectual" (cf. The Simpsons episode), as, Rushmore style, I have represented my Alma Mater in in the performance of staged plays and in the sport of Cricket as part of medaled outfits. There, I edited and contributed to intramural magazines and yearbooks. To make it worse, I tried hard to read Finnegans Wake, was drunk on the lyrical beauty of Thus Spake Zarathustra and fascinated by stream of consciousness in The Sound and the Fury: all at the ripe old age of 18. Other transgressions include appreciation of French cinema, Prog Rock, SNES and Star Trek.
In the past few years, outside of Physics and Mathematics, I've developed an interest in Greco-Roman and Persian history; a more recent interest has been in the history of the Nomads of the steppes such as the Huns and Mongols that transformed the world in a complex and interconnected fashion.
I am open to discussing things in a civil fashion with others with similar interests. That was a motivation behind my joining Triple Nine Society and the ISPE. However, I was never keen on puzzles, riddles and other similar things associated with those with certain inclinations or backgrounds. You can also email me.
(c) Copyright Sandeep Rajput 2015. All rights reserved.