Data @UBER Tech Talk In Association With DataGiri

Hi All,

The time has finally come! We are in Bengaluru. After hosting DJ Patil (Former Data Scientist at White House), Fractal Analytics, Faasos, Hotstar, Qure.ai and many more meetups in Mumbai, DataGiri is all set to do the magic with Bangalore. We are hosting a meetup on 8th of March with UBER.

Running efficient Uber marketplaces across the world involves a lot of real time decisions and advanced statistical and ML models, all of which require highly scalable and performant data solutions and platforms. We also have some very challenging data problems in the advertising tech space that call for planet-scale solutions.

Come learn about how we’ve tackled some of these data challenges at Uber, lessons we’ve learnt and what challenges lie ahead of us!

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Agenda

• Intro and Keynote: Divyesh Shah

• Real-time Insights & Analytics for a Complex Planet-scale Marketplace @ Uber: Sudhir Tonse

• AdTech @Uber - Unique challenges and opportunities for Data Engineers: Pramod Biligiri and Aman Gairola

About the speakers

Speaker - Sudhir Tonse

LinkedIn - https://www.linkedin.com/in/sudhirtonse/

Speaker Bio: Sudhir Tonse manages the Real-time Data Intelligence organization at Uber which is responsible for the Marketplace Data Pipeline, Storage and Compute framework as well as Insights and Analytics. Prior to Uber Sudhir managed the Runtime Cloud Platform teams at Netflix primarily focusing on making the MicroServices strategy work in AWS's Cloud.

Title: Real-time Insights & Analytics for a Complex Planet-scale Marketplace @ Uber

Overview: How to leverage Open Source Big Data stacks in interesting ways to solve some interesting Analytical and ML needs.

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Speaker - Aman Gairola

LinkedIn - https://www.linkedin.com/in/amangairola/

Speaker Bio: Aman is a senior data engineer on the AdTech team working on building near real-time attribution mechanisms in partnership with Marketing to help deliver insights around fraud detection and cross-channel spend optimization. Over the previous decade he has worked on tackling data processing problems caused by the complexities of scale and speed at Facebook, Amazon, Yahoo and IBM.

Speaker - Pramod Biligiri

LinkedIn - https://www.linkedin.com/in/pramod-biligiri-b9765a23/

Speaker Bio: Pramod is a data engineer working on AdTech related products at Uber. Prior to Uber, he was working on audience data infrastructure at Yahoo, where he helped build batch and real time pipelines that used Hadoop, Storm and Kafka to manage user events. He has also worked as an engineer focussed on data processing and analytics at companies like ThoughtWorks and Capillary Technologies.

Title: AdTech @Uber - Unique challenges and opportunities for Data Engineers

Overview: A two-part talk where Aman will talk about what makes Uber’s AdTech problems unique and distinct from retail and ecommerce, and also how we’ve achieved near real-time attribution for different applications. Later, Pramod will follow up with his learnings as a data engineer who has built real time and batch pipelines at the petabyte scale.