My zest towards solving problems in Math and Physics coupled with a keen eye for Engineering at a young age (thanks to my dad) formed the foundation for my interest in Analytics. Back in 2014 when I was at the crossroads of career choice, my flair for an amalgamation of Computer science and Statistics meant only one thing, and it has been an exhilarating ride ever since.
I currently work in Flipkart as a Decision Scientist where I leverage my skills in machine learning to solve some of the toughest problems in e-commerce. The best part of my job is that it gives me an eclectic mix of technical proficiency and business relevance, which keeps me constantly on my toes. Examples of such problems are pricing, selection, supply chain optimization, and Fintech. A common thread of solution between all of these has been the Flipkart culture of having lengthy, fun, and energetic brainstorming sessions over which we solved these problems, and maybe that’s why these times will always remain fondly etched in memory.
Every time I’m exposed to a relatively new field, the inquisitive child in me pops up, and I do a lot of reading on the subject to break down the blocks into tangible elements. The relentless urge to bang against the ‘problem wall’ till the wall goes down is my key to success.
What energizes me outside work is music, tennis, chess, and of course… PHYSICS!
A few years further down my career, I want to simplify Analytics and demystify Machine Learning making it less of a pie in the sky and more of a pedestrian word if that’s possible. Fun and easy for everyone. My go-to mantra has always been “Leave this world a little better than you found it.” – Robert Baden Powell.
My piece of advice to the youngsters today is to keep improving yourself every day, be it building on your strengths or working on your weaknesses. Change is inevitable, but your growth is optional and lies with you!
Meet Sidharth Kumar: Data Science Savant, Machine Learning Aficionado, and Ardent Chess Player.