The Cooking Challenge: For Once, Not Stirring Data


Bangalore, September 2017. Our tech hub is like a giant melting pot. Some colleagues are surfing like pros through a dense soup of new data partners adding the last ingredients. Others are stirring or preparing neatly proportioned data segments for when hungry advertisers return from their summer holidays around the world. Eventually they themselves become as hungry for good food. Conversations are shifting from optimizing algorithms and developing new features to the extraordinary particularities of their native cuisines. The conversations heat up around which cuisine is the tastiest but they are not ready to settle! “Let´s have a cooking challenge” — someone suggests. And so it began…

“You are what you eat — at least to a certain degree. I love food the same way I enjoy developing new machine learning algorithms. Living in the USA, Sweden and India has taught me to appreciate different flavours, but I have to say there is nothing like an authentic Oriya dish”, Swapnasarit Sahu, VP Data Science.

As the day of the cooking challenge comes closer, our talented coders have almost become master chefs and while searching for solutions on Stackoverflow during work time, their heads are overflowing with recipes, ingredients, and identifying the right spices at home. Sprint meetings are followed by discussions about who should take over the cooking lead and what dishes from their region are the most promising candidates to become yet another champion outside of the data world.

Getting closer to the event, the energy and passion from these foodies become only too graspable.