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Details

Schedule:

Panel Discussion on Data Science Research & Industry, Open Source, Career in DS and Privacy of ML Models.

• How to join the panel discussion?
Join the panel discussion here: https://delhi.pydata.org/live/panel/
The panel discussion would take place on Zoom meeting.

We'd also be live-streaming the whole meetup on our YouTube(https://youtube.com/pydatadelhi) if you don't wish to join the Zoom call.

• How to ask questions?
You can post your questions here: https://delhi.pydata.org/live/qna
We'd pick the most suitable questions/most upvoted amongst all of them. You can also ask questions during the Zoom meeting if the time persists.

We are trying a new event format this time. Instead of presentations on technical topics, we will have a panel of experienced Data Science professionals discussing all things related to data science research & industry, open-source, career in DS and privacy of ml models.

~~~The topics we will cover includes but are not limited to: how to make it in open-source as student/developer, non-portability of algorithmic fairness/unique challenges India faces in the portability of algorithm(development & deployment), the privacy of machine learning models, data protection law in India etc.~~~

Our panellists are Shagun Sodhai, Kritika Prakash and Jaidev Deshpande.

• About Shagun Sodhani:
Shagun is a research engineer at Facebook AI Research. His research interest is in lifelong reinforcement learning -- training AI systems that can interact with and learn from the physical world and consistently improve as they do so without forgetting the previous knowledge.
(https://twitter.com/shagunsodhani)

• About Kritika Prakash:
Kritika Prakash is a researcher at the Machine Learning Lab at IIIT Hyderabad and leads the Differential Privacy R&D Team at OpenMined. Her work is in the field of Computational Privacy for Artificial intelligence.
(https://twitter.com/kritipraks)

• About Jaidev Deshpande:
Jaidev is a senior data scientist at Gramener, where he works on products around automating data science. He's an active FOSS contributor and you're likely to run into him at tech events.
(https://twitter.com/jaidevd)

Logistics:

• Panel discussion will be held on Zoom meeting. The link for the Zoom would be shared in advance.

• Meetup will also be live-streamed on YouTube simultaneously.

• If you have any questions/queries, please ask them here: http://bit.do/pydd42-panel

• If you have any suggestions, feel free to comment below.

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Follow @pydatadelhi (http://twitter.com/pydatadelhi) for updates and early announcements. See you at the meetup!

We're on Telegram. Join us for early updates and discussions here (https://t.me/joinchat/QatRDofNFylXHrpH)

Share your Lightning Talks! A "lightning talk" is a quick mini-presentation (5 minutes maximum) on any Python topic you'd like. We'll save time for 2-3 of these each month: to save a spot, post a comment with your talk's title/topic and create and issue at (https://github.com/pydatadelhi/talks/issues) Beginner topics are always welcome!

Presentations: If you'd like to share a topic with the group at an upcoming meetup, propose a talk here (https://github.com/pydatadelhi/talks/issues) :)

Contact:
Message us through the message tab on the meetup page.

Sponsors

NumFOCUS

NumFOCUS

Promoting accessible and reproducible computing in science & technology

Google

Google

Food Sponsorship

Microsoft

Microsoft

Venue Sponsorship

SocialCops

SocialCops

Venue Sponsorship

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