Julia is a high-level dynamic language which was invented out of greed to do more. Unlike other high-level dynamic languages, Julia is really fast. It inherits design tenets from Lisp, builds on the good parts of C, MATLAB, R, Python and Ruby to create a language that is performant and highly productive at the same time.
We are proud to announce the first ever JuliaCon India. It will feature the creators of the language Jeff Bezanson, Stefan Karpinski, and Viral B Shah, and an enthusiastic contingent of Julia programmers in India. It’s a two-day event consisting of a day-long conference (9th Oct) and a workshop (10th Oct).
Optimising organized transport at scale - A quick introduction to Data sciences @ Olacabs
The objective of the talk is to introduce the audience to some of the problems that the Data sciences group @Ola works on.
The objective of the talk is to introduce the audience to some of the problems that the Data sciences group @Ola works on. Ola being the largest organized taxi aggregator in the country, the Data sciences group @Ola is entrusted with a wide range of problems such as pricing, navigation/ETA prediction, demand forecasting and the like. Time permitting, we will also provide some highlights on the data infrastructure, learning algorithms and tech stacks that we use.
Swaminathan is currently the principal data scientist, and runs the Data sciences group at Olacabs. Prior to that, he was in the advertising technology space with Inmobi and Yahoo. He has also been involved with startups in advertising, e-commerce, healthcare domains. His focus is primarily on getting machine learning algorithms to work on big data at scale and be useful to businesses. He has worked on areas including real-time prediction/decisioning systems (CTR prediction, ETA estimation, etc.), marketplace optimisation (arbitrage, budget allocation, pricing, etc.), user behavior modeling (ad fatigue, conversion funnels, etc.) and the like.