Jul 2019
22 Mon
23 Tue
24 Wed
25 Thu 09:15 AM – 05:45 PM IST
26 Fri 09:20 AM – 05:30 PM IST
27 Sat
28 Sun
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Accepting submissions till 15 Jun 2019, 01:00 PM
Jul 2019
22 Mon
23 Tue
24 Wed
25 Thu 09:15 AM – 05:45 PM IST
26 Fri 09:20 AM – 05:30 PM IST
27 Sat
28 Sun
Accepting submissions till 15 Jun 2019, 01:00 PM
1. Meet Peter Wang, co-founder of Anaconda Inc, and learn about why data privacy is the first step towards robust data management; the journey of building Anaconda; and Anaconda in enterprise.
2. Talk to the Fulfillment and Supply Group (FSG) team from Flipkart, and learn about their work with platform engineering where ground truths are the source of data.
3. Attend tutorials on Deep Learning with RedisAI; TransmorgifyAI, Salesforce’s open source AutoML.
4. Discuss interesting problems to solve with data science in agriculture, SaaS perspective on multi-tenancy in Machine Learning (with the Freshworks team), bias in intent classification and recommendations.
5. Meet data science, data engineering and product teams from sponsoring companies to understand how they are handling data and leveraging intelligence from data to solve interesting problems.
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Hosted by
Fasih Khatib
@fasihsimpl
Submitted May 13, 2019
A pay-later solution like Simpl comes with risk - some customers don’t pay their bill on time. When this happens, our collections team calls them up and gently reminds them that their bill is due. Some people even try to vanish - they ghost us - without paying their bill, resulting in escalation to our skip trace team.
In this talk I’ll go over how we use survival models to optimize our calling team by deciding who has skipped (and needs a trace), who should get a gentle reminder, and in what order of priority.
This talk is about using survival models to optimize the process of making collection calls (“dear sir, please pay your bill, it’s overdue”).
This talk is accessible to those with some prior experience in statistics and/or machine learning
Fasih is a data scientist at Simpl, India’s top pay later platform. When he’s not busy playing video games, he’s busy writing about all-things-Bayes and functional programming. Prefers adrak-wali-chai over coffee, suggests ordering from Tata Cha over Chai Point, and paying using Simpl.
https://docs.google.com/presentation/d/1qnMPPi3caa_9y1pShqxf7mbEbJsk33fpEgYX6-WDQ0Y/edit?usp=sharing
Jul 2019
22 Mon
23 Tue
24 Wed
25 Thu 09:15 AM – 05:45 PM IST
26 Fri 09:20 AM – 05:30 PM IST
27 Sat
28 Sun
Accepting submissions till 15 Jun 2019, 01:00 PM
Hosted by
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