Jul 2018
23 Mon
24 Tue
25 Wed
26 Thu 07:45 AM – 06:15 PM IST
27 Fri 07:45 AM – 05:35 PM IST
28 Sat
29 Sun
Auditorium 1
Auditorium 2
Auditorium 3
BOF area
07:45–09:00
Check-in and breakfast
09:00–09:10
Introduction to The Fifth Elephant
09:10–10:00
So you think you know about linear regression ...
Chris Stucchio, Simpl
10:00–10:30
A study in classification
Ramanan Balakrishnan
10:00–11:30
Sponsored workshop: Machine Learning with Amazon SageMaker
Praveen Jayakumar
10:20–11:00
Improving product discovery via relevance and ranking optimization
Akash Khandelwal, Flipkart
10:30–11:00
Morning beverage break
11:00–11:45
Keynote: The power of intuition in data science, and why it will always have a role.
Avi Patchava, InMobi
11:00–11:45
Morning beverage break
11:30–12:00
Morning beverage break
11:45–12:35
Using structural estimation methods from economics to model user behaviour in bike-sharing systems
Ashish Kabra, University of Maryland
11:45–12:25
Needle in a haystack: entity search on text and graph
Uma Sawant
12:00–13:30
Sponsored workshop: Machine Learning with Amazon SageMaker - continued
Praveen Jayakumar
12:25–13:05
Building analytics application with streaming expressions in Apache Solr
Amrit Sarkar
12:35–13:05
Our experiments with food recommendations @Swiggy
Nitin Hardeniya, Swiggy
13:05–14:05
Lunch break
13:05–14:05
Lunch break
13:30–14:30
Lunch break
14:05–14:45
Design for data
Paul Meinshausen, Montane Ventures
14:05–14:45
Serviceability under high demand
Venkateshan K, Swiggy
14:05–14:50
Birds Of Feather (BOF) session: Women in data science
TBA
14:45–15:25
Compromising a $6B big data project through poor data quality: the Aadhaar case study
Anand Venkatanarayanan
14:45–15:50
Birds Of Feather (BOF) session: Solr users' BOF
Facilitated by Amrit Sarkar, Shalin Mangar, Rishu Mehrotra and Akash Khandelwal
15:25–16:05
Weaponizing data for politics
Shivam Shankar Singh, political consultant
15:50–16:20
Evening beverage break
16:05–16:30
Evening beverage break
16:20–16:40
Flash talks – by audience
16:30–17:10
Qubole Sparklens: understanding the scalability limits of Spark applications
Rohit Karlupia, Qubole
16:30–17:30
Birds Of Feather (BOF) session: Data Science in Production BOF
Facilitated by Anand Chitipothu, Raghotham S, Bargava S, Swaroop Ch, Gokulvenan V, Regunath B
16:40–17:40
Birds Of Feather (BOF) session: Math for data science
Led by: Amit Kapoor, Priyanka Bhat, Uma Sawant, Chris Stucchio, Vishal Gokhale, Nitin Hardeniya, Venkateshan K
17:30–18:15
Discussing the agenda for The Fifth Elephant 2019: an open discussion
Facilitated by Zainab Bawa and Venkata Pingali
Auditorium 1
Auditorium 2
Auditorium 3
BOF area
07:45–09:00
Check-in and breakfast
09:00–09:40
Operating data pipeline using Airflow @ Slack
Ananth Durai, Slack
09:40–10:20
Scalability truths and serverless architectures: why it is harder with stateful, data-driven systems
Regunath B, Flipkart
09:40–10:00
Segmenting 500 million users using Airflow + Hive
Soumya Shukla, WalmartLabs
10:00–10:20
Improve data quality using Apache Airflow and check operator
Sakshi Bansal, Qubole
10:00–11:30
Tutorial: Deep learning based hybrid recommendation systems in TensorFlow
Vijay Srinivas Agneeswaran, Ph.D
10:20–11:00
Building a next generation speech and NLU engine: in pursuit of multi-modal experience for Bixby
Vikram Vij, Samsung
10:20–11:00
User Response Prediction at Scale
Priyanka Bhatt, @WalmartLabs
11:00–11:30
Morning beverage break
11:00–11:30
Morning beverage break
11:30–12:10
Michelangelo: Uber's machine learning platform
Achal Shah, Uber
11:30–12:10
Sponsored talk: Market propensity modelling using XStream: unified self-service analytics ETL and ML platform
Puneet Kumar Ojha, Exadatum
11:30–12:00
Morning beverage break
11:30–12:15
Birds Of Feather (BOF) session: Airflow users' BOF
Facilitated by Soumya Shukla, Sakshi Bansal and Ananth Durai
12:00–13:30
Tutorial: Deep learning based hybrid recommendation systems in TensorFlow – continued
12:10–12:50
Data science for business: adopting analytics without paralysis
Ajay Kelkar, Hansa Analytics
12:10–12:50
The battle for privacy: right to be forgotten in India
Jyoti Panday, independent researcher
12:15–13:15
Birds Of Feather (BOF) session: Spark users' BOF
Facilitated by Rohit Kalpuria, Raghotham S, Vaidhy Gopalan
12:50–13:50
Lunch break
12:50–13:25
The right to privacy versus the people's right to know: challenges and the way forward
Sushant Sinha, Indian Kanoon
13:15–13:50
Lunch break
13:25–14:25
Lunch break
13:30–14:30
Lunch break
13:50–14:30
Atlas: GO-JEK’s real-time geospatial visualization platform
Ravi Suhag, GO-JEK
13:50–14:50
Birds Of Feather (BOF) session: Inculcating data-driven thinking and systems in your organization
Discussants: Ajay Kelkar, Ananth Durai, Jayaram Kasi Visweswaran
14:25–15:25
Birds Of Feather (BOF) session: Data privacy and questions to think about.
Led by Alok Prasanna Kumar. Discussants: Jyoti Panday, Sushant Sinha, Shivam Shankar Singh, Anand V and Kiran Jonnalagadda
14:30–15:10
Incremental transform of transactional data models to analytical data models in near real time
Govind Pandey, Flipkart
15:10–15:50
Scaling write-heavy OLTP systems with strong data guarantees: learning from Flipkart’s user facing order capture systems
Gokulvanan V Velan, Flipkart
15:20–16:20
Birds Of Feather (BOF) session: Data science for ad tech
Facilitated by: Priyanka Bhat, Ekta Grover, Farhat Habib, Akshita Sukhlecha and Sibaprasad Mohanty
15:25–16:05
Deep portfolio: using neural networks for portfolio construction
Anant Gupta, Morgan Stanley
15:50–16:20
Evening beverage break
16:05–16:35
Evening beverage break
16:20–17:05
Seeing through the eyes of a self-driving car: visualizing autonomous vehicle data on the web
Xiaoji Chen, Uber
16:35–17:35
Birds Of Feather (BOF) session: Data engineering BOF
Led by Venkata Pingali. Discussants: Vikram Vij, Ananth Durai, Paul Meinhausen, Rishu Mehrotra, Amir Nagri, Achal Shah