Conference Schedule

View past PyData event schedules here.

Schedule — Saturday Aug. 3, 2019

  C01 C11 C02
8:00 AM

Coffee & Registration

9:00 AM

Opening Notes
Sanket Verma
(Hall C101)

9:20 AM

IIITD Introduction
Vikram Goyal, Rajiv Ratn Shah
(Hall C101)

9:30 AM

The Power of Data Science to Measure Unmeasured Parameters in Emerging Markets
Prukalpa Sankar
(Hall C101)

10:30 AM Fundamental Results in ML and How to Use Them Jaidev Deshpande Intelligent recruitment using NLP and machine learning to identify the most suitable candidates Victor Robin Quantitative Finance with R Harshit Joshi, Vedant Bonde
11:15 AM How GPU Computing literally saved me at work Abhishek Mungoli The Magic of Numpy Sarah Masud
12:00 PM Auria Kathi - The power of Multi Model Machine Learning Pipelines Sleeba Paul Understanding Opacity in Machine Learning Models Ankit Rathi, Yatin Bhatia
12:40 PM

Research @ IIITD
Rajiv Ratn Shah

Contests & Pop Quiz

1:00 PM

Lunch & Networking

2:30 PM

Lightning Talks

Deepening Democracy through Data: Learnings from Indian Politics and Policy
Roshan Shankar

3:00 PM Transfer Learning in Natural Language Processing Janu Verma Automating Data Pipeline using Apache Airflow Mridu Bhatnagar Tips, Tricks and Topics in Text Analysis Bhargav Srinivasa Desikan
3:45 PM

Python for Data Science /Machine Learning at Barclays (Sponsored Talk)
Rachita Das

Generating Sorting Networks using NEAT Parth Raghav
4:30 PM Predicting Real-Time Transaction Fraud Using Python and spark (Sponsored Talk) Mayank Jain Generating tabla note sequences with Markov Chains and Processing/p5.js Keshav Joshi
5:10 PM

Invited Talk: James Powell

5:50 PM

Wrapping up Day 1

6:00 PM

Evening Snacks

6:20 PM

Schedule — Sunday Aug. 4, 2019

  C01 C11 C02
8:00 AM

Coffee & Registration

9:00 AM

Differentiable Programming: An Exciting Generalization of Deep Neural Networks
Dr. Viral B. Shah
(Hall C101)

10:00 AM Deep Sequence Models for Attribute Extraction from Product Titles Deepak Sharma Automated Large Scale Forecasting for 1000+ products Aanish Singla, Nikita Sharma Advance ML- On Improving Performance of Machine Learning Models by Optimizing Hyper-parameters Anubav Kesari, Tanay Agrawal
10:45 AM Improving Model Lifecycle Management for Machine Learning Models Pankaj Gupta Building robust AI models against adversarial attacks: Python libraries Cleverhans and Foolbox Deya Chatterjee
11:30 AM Using NLP for disaster management Kaustubh Hiware Building interactive data visualisations with Altair & Django Rajesh Golani
12:15 PM

Panel Discussion

1:30 PM

Lunch & Networking

3:00 PM Understanding user churn in GoPay (Sponsored Talk) Karthik Vijayakumar, Sruthi S

Automating Deep Learning Workflows (Sponsored Talk)
Joinal Ahmed

Machine Learning Security - The Data Scientist's Guide to Hardening ML Models Arjun Bahuguna
3:45 PM Knowledge Graph made simple using NLP and Transfer Learning Suyog Swami How I Used Data Visualization in My Quest for the Perfect Wine Pranav Suri
4:30 PM Image Manipulation Detection using Neural Networks Sonal Kukreja Autocorrect of words and Autosuggest of Sentences Sayantan Gangopadhyay
5:10 PM

Open Spaces

BoF Session

5:40 PM

Closing Notes

6:00 PM

Evening Snacks & Wrapping up Day 2

6:20 PM

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