The Fifth Elephant 2017
On data engineering and application of ML in diverse domains
Jul 2017
24 Mon
25 Tue
26 Wed
27 Thu 08:15 AM – 10:00 PM IST
28 Fri 08:15 AM – 06:25 PM IST
29 Sat
30 Sun
On data engineering and application of ML in diverse domains
Jul 2017
24 Mon
25 Tue
26 Wed
27 Thu 08:15 AM – 10:00 PM IST
28 Fri 08:15 AM – 06:25 PM IST
29 Sat
30 Sun
The Fifth Elephant 2017 is a four-track conference on:
The Fifth Elephant is a conference for practitioners, by practitioners.
Talk submissions are now closed.
You must submit the following details along with your proposal, or within 10 days of submission:
This year is the sixth edition of The Fifth Elephant. The conference is a renowned gathering of data scientists, programmers, analysts, researchers, and technologists working in the areas of data mining, analytics, machine learning and deep learning from different domains.
We invite proposals for the following sessions, with a clear focus on the big picture and insights that participants can apply in their work:
We will notify you if we move your proposal to the next round or reject it. A speaker is NOT confirmed for a slot unless we explicitly mention so in an email or over any other medium of communication.
Selected speakers must participate in one or two rounds of rehearsals before the conference. This is mandatory and helps you to prepare well for the conference.
There is only one speaker per session. Entry is free for selected speakers.
Partial or full grants, covering travel and accomodation are made available to speakers delivering full sessions (40 minutes) and workshops. Grants are limited, and are given in the order of preference to students, women, persons of non-binary genders, and speakers from Asia and Africa.
We believe in open source as the binding force of our community. If you are describing a codebase for developers to work with, we’d like for it to be available under a permissive open source licence. If your software is commercially licensed or available under a combination of commercial and restrictive open source licences (such as the various forms of the GPL), you should consider picking up a sponsorship. We recognise that there are valid reasons for commercial licensing, but ask that you support the conference in return for giving you an audience. Your session will be marked on the schedule as a “sponsored session”.
For more information about speaking proposals, tickets and sponsorships, contact info@hasgeek.com or call +91-7676332020.
Hosted by
Vanitha DSilva
@vanithadsilva
Submitted Apr 11, 2017
Traditional loans are based on banking history leaving a large segment of people ineligible. These however, represent a highly untapped segment representing large purchasing potential. How do you deem if someone is trustworthy when you have no information to base your decision on? This session will detail methods of evaluating people and extending loans irrespective through leveraging technology and data in today’s digital world
1) Potential for lending in developing countries such as India
-Current Scenario
-Untapped Potential that exists
2) How do you make an informed decision with no traditional sources of data
-What are the traditional sources of data
-What are the alternate sources
-How can Big Data and Data Science help?
3) Algorithms to deem credit-worthiness
-Credit-scoring architecture
-ML techniques employed for different data sources and types
-Feedback loops to come full circle
Driven by identifying patterns, deriving insights and problem solving, data science and Vanitha is a natural fit. She has been instrumental in Oxigen’s evolution to a data-driven organization backed by a decade of experience in gleaning actionable insight and scalable data science solutions. She and her team enable key business decisions using ML, Big Data technology and sometimes just plain grit. When not working she is analysing random trivia usually over chai. She can be reached at vanitha.dsilva@gmail.com
Analyzing numbers, trends and visualisation is like breathing to Neelu, be it in industry specific domain analytics or identifying insights from polling numbers each election season as a hobby. As a core member of Oxigen’s Data Science Team, Neelu has built a company culture of utilizing data-driven insights for key business decisions. She has more than 7 years of experience in the industry across domains and can be reached at singh.neelu26@gmail.com.
https://docs.google.com/presentation/d/14yqaaUr4jVcs0P3iD_Bpopuq279wINg966DjdbCAryU/edit?usp=sharing
Jul 2017
24 Mon
25 Tue
26 Wed
27 Thu 08:15 AM – 10:00 PM IST
28 Fri 08:15 AM – 06:25 PM IST
29 Sat
30 Sun
Hosted by
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