Data: The bad, the ugly and the tamed

[Online event, will be live-streamed on YouTube. Link will be updated on the day of the event]

We all get exposed to various kinds of data - ranging from wav files, streaming data, CSV, images, texts, databases, etc. which often can range from a few gigabytes to petabytes. Each kind of data comes with its own context and a way of processing of data, which makes each data product a new challenge. Over years of working in the field of data science, I have picked up a few techniques which, I believe, will help us all to build better solutions.

What to expect to learn from this session?

The biggest problem in Data Science solutions is not what model to pick but the data itself.

Who should attend this talk:

Anyone who is interested in getting insights into how to build sustainable data science solutions.

Speaker Bio:

Jayant has been part of the data ecosystem for the last 6 years and has taken up roles in the streams of Data Visualisation, Machine Learning & product development. He believes in coming up with solutions that help organisations figure out “How to make Data useful?”. Along with his professional career, Jayant has been part of DataKind Bangalore, a Data For Good community, where he worked with Non-profits to come up with Data Strategies for achieving their objectives.