JuliaCon India 2015

The first Indian conference on the Julia programming language

Optimising organized transport at scale - A quick introduction to Data sciences @ Olacabs

Submitted by Swaminathan Padmanabhan (@swaminathankp) on Thursday, 1 October 2015

videocam_off

Technical level

Beginner

Section

Sponsored session

Status

Confirmed & Scheduled

View proposal in schedule

Vote on this proposal

Login to vote

Total votes:  +2

Objective

The objective of the talk is to introduce the audience to some of the problems that the Data sciences group @Ola works on.

Description

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.

Speaker bio

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.

https://in.linkedin.com/in/pswaminathan

Comments

Login with Twitter or Google to leave a comment