The Fifth Elephant 2017

On data engineering and application of ML in diverse domains

##Theme and format
The Fifth Elephant 2017 is a four-track conference on:

  1. Data engineering – building pipelines and platforms; exposure to latest open source tools for data mining and real-time analytics.
  2. Application of Machine Learning (ML) in diverse domains such as IOT, payments, e-commerce, education, ecology, government, agriculture, computational biology, social network analysis and emerging markets.
  3. Hands-on tutorials on data mining tools, and ML platforms and techniques.
  4. Off-the-record (OTR) sessions on privacy issues concerning data; building data pipelines; failure stories in ML; interesting problems to solve with data science; and other relevant topics.

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:

  1. Draft slides, mind map or a textual description detailing the structure and content of your talk.
  2. Link to a self-record, two-minute preview video, where you explain what your talk is about, and the key takeaways for participants. This preview video helps conference editors understand the lucidity of your thoughts and how invested you are in presenting insights beyond your use case. Please note that the preview video should be submitted irrespective of whether you have spoken at past editions of The Fifth Elephant.
  3. If you submit a workshop proposal, you must specify the target audience for your workshop; duration; number of participants you can accommodate; pre-requisites for the workshop; link to GitHub repositories and documents showing the full workshop plan.

##About the conference
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:

  • Full-length, 40-minute talks.
  • Crisp, 15-minute talks.
  • Sponsored sessions, of 15 minutes and 40 minutes duration (limited slots available; subject to editorial scrutiny and approval).
  • Hands-on tutorials and workshop sessions of 3-hour and 6-hour duration where participants follow instructors on their laptops.
  • Off-the-record (OTR) sessions of 60-90 minutes duration.

##Selection Process

  1. Proposals will be filtered and shortlisted by an Editorial Panel.
  2. Proposers, editors and community members must respond to comments as openly as possible so that the selection processs is transparent.
  3. Proposers are also encouraged to vote and comment on other proposals submitted here.

Selection Process Flowchart

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.

##Travel grants
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.

##Commitment to Open Source
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”.

##Important Dates:

  • Deadline for submitting proposals: June 10
  • First draft of the coference schedule: June 20
  • Tutorial and workshop announcements: June 20
  • Final conference schedule: July 5
  • Conference dates: 27-28 July

For more information about speaking proposals, tickets and sponsorships, contact or call +91-7676332020.

Hosted by

All about data science and machine learning

Charan Puvvala


Autonomous Grid using Machine Learning

Submitted Apr 25, 2017

In this talk we deep dive into how we are assisting Energy Utilities using IOT and Machine Learning to build the next generation of Autonomous grid. The potential impact of applying Machine Learning, IOT, IIOT is estimated at 2-4% of annual revenue, 3-5% of annual accounts receivable, cost improvement of 4-8% per campaign against their consumers. The topics include application of Machine Learning on 10 specific problems in Utilies ranging from Power generation to consumption and post service.

The principles from this talk can be applied to not just Energy but other consumables within utilities like Natural Gas, Water, Sewage


The problems and techniques which will be covered in the talk are:

  1. Calculation and verification of demand response.
  2. Identification of fraud/theft of power via bottom-up consumption analysis
  3. Meter-to-Cash Analysis
  4. Gamification of energy usage among users at locality level
  5. Customer Usage Pattern Analysis
  6. Reports to regulatory bodies on Performance and Service reliability
  7. Transformer overload detection and circuit analysis
  8. Extension of the life of assets via predictive and pro-active maintenance
  9. Load profile characterization and definition for segmented customers – residential and commercial
  10. Capacity Offset Forecasting for load reduction programs (like demand response and interruptible load control programs).

Speaker bio

Charan is a Chief Data Architect at Proarch. In this role he is responsible for architecting and building systems in domains of Utilities and BFSI. His special interests lie on solving problems using ANNs, Semantic and Linked Data. He also asists the Standard Chartered Bank in building their Data Science Stack, teams.

Charan was previously associated with Amazon & World Bank, respectively. During his stint with World Bank, Charan worked on the prestigious Open Data project as an Integration Specialist in 2011.
He was a Research Scholar at The Harvard University, Center for Italian Renaissance, Florence, Italy on Linked Data & Graph theory.

Charan is also the organizer and a regular Speaker at the Hyderabad Machine Learning Community.


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All about data science and machine learning