The Fifth Elephant 2020 edition

The Fifth Elephant 2020 edition

On data governance, engineering for data privacy and data science

The ninth edition of The Fifth Elephant will be held in Bangalore on 16 and 17 July 2020.

The Fifth Elephant brings together over one thousand data scientists, ML engineers, data engineers and analysts to discuss:

  1. Data governance
  2. Data privacy and engineering for privacy including engineering for Personal Data Protection (PDP) bill.
  3. Data cleaning, annotation, instrumentation and productionizing data science.
  4. Identifying and handling fraud + data security at scale
  5. Feature engineering and ML platforms.
  6. What it takes to create data-driven cultures in organizations of different scales.

**Event details:

Dates: 16-17 July 2020
Venue: NIMHANS Convention Centre, Dairy Circle, Bangalore

Why you should attend:

  1. Network with peers and practitioners from the data ecosystem.
  2. Share approaches to solving expensive problems such as cleanliness of training data, annotation, model management and versioning data.
  3. Demo your ideas in the demo sessions.
  4. Join Birds of Feather (BOF) sessions to have productive discussions on focussed topics. Or, start your own Birds of Feather (BOF) session.

Contact details:
For more information about The Fifth Elephant, call +91-7676332020 or email sales@hasgeek.com


Hosted by

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more

Gunjan Dewan

@gunjandewan

Developing a match-making algorithm between customers and Go-Jek products!

Submitted Feb 26, 2020

20+ products. Millions of active customers. Insane amount of data and complex domain. Come join me in this talk to know the journey we at Gojek took to predict which of our products a user is most likely to use next.

A major problem we faced, as a company, was targeting our customers with promos and vouchers that were relevant to them. We developed a generalized model that takes into account the transaction history of users and gives a ranked list of our services that they are most likely to use next. From here on, we are able to determine the vouchers that we can target these customers with.

In this talk, I will be talking about our process while developing the model, the challenges we faced during the time and the impact it had on our conversion rates.

Outline

This session is the story of how we built a match-making algorithm that helps us do targeted cross-sell to Gojek users and help them discover products they’ve never used!

It will have the following outline :

  1. What is customer targeting?
  2. Defining the problem statement
  3. Iterations to solve the problem
  4. Challenges Faced
  5. Workflow
  6. Impact and Results

Speaker bio

Gunjan has been working in the industry for 3 years and has a background in Mathematics. Currently she is working with the Fraud Team in the Gopay (Gojek) Data Science team.
She can talk about statistical models with you all day long and can’t help but notice patterns everywhere in her life. Along with her day job, she also mentors aspiring young data scientists.

Slides

https://drive.google.com/file/d/14CKnWOE0588kBJEKBTGpNjVpI0_2EFQm/view?usp=sharing

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Hosted by

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more