Full Stack Data Science Workshop

Data Science is currently one of the most rapidly advancing fields of computer science. Every company today wishes to leverage the miracles of Data Science and Artificial Intelligence to improve their products and business. Google Developers Group Kolkata in association with The Code Foundation bring to you the first of its kind workshop where the audience is taught Data Science from the applicati

Jan 19, 2019, 5:00 – 11:30 AM

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About this event

Data Science is currently one of the most rapidly advancing fields of computer science. Every company today wishes to leverage the miracles of Data Science and Artificial Intelligence to improve their products and business. Google Developers Group Kolkata in association with The Code Foundation bring to you the first of its kind workshop where the audience is taught Data Science from the application perspective, keeping in mind the nitty-gritty involved with production environments.

Date of the workshop: 19th January 2019 (Saturday)

Time: 10:30 AM

Venue: Science Auditorium, Institute of Engineering and Management, Salt Lake Electronics Complex, Sector V, Salt Lake City, Kolkata (MAP: https://goo.gl/maps/KQwzpBsLmCS2)

Registration Link: [Closed] http://tiny.cc/gdg-tcf-dsw-form

Confirmations: Batch 1 - 13th Jan, Batch 2 - 15th Jan, Batch 3 - 17th Jan (between 00:00 to 03:00 hours of each date)

Event schedule:
1. Registration - 10:30 AM to 11:00 AM
2. Understanding Parts of Speech - 11:00 AM to 11:30 AM
3. Full Stack Data Science Workshop - 11:30 AM to 1:30 PM (Part 1)
4. Break - 1:30 PM to 1:45 pm
5. Full Stack Data Science Workshop - 1:15 PM to 3:00 PM (Part 2)
6. Building a Career in Machine Learning - 3:00 PM to 3:30 PM

Note: All the participants should bring their laptops (with Miniconda/Anaconda (Python 3.7 variant) and Postman installed) as this is a purely hands-on workshop.

Prerequisites: Familiarity with programming (preferably with Python)
(Basic familiarity with machine learning will be an added advantage)

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About the workshop instructor: Nilabhra Roy Chowdhury is an M.Sc (Data Engineering) student at Jacobs University. He did his undergraduate studies on Computer Science and Engineering from Netaji Subhash Engineering College. His work is heavily centred around finding solutions to NLP / NLU tasks that is usable in a production setting and built from noisy real-world data. He uses both classical and deep learning approaches to solve these problems.

Link to Nilabhra’s LinkedIn: https://www.linkedin.com/in/nilabhraroychowdhury/
Link to Nilabhra’s latest project on the implementation of NALU(Neural Arithmetic Logic Unit): https://github.com/Nilabhra/NALU

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Session on Building a Career in Machine Learning - Rajarshee Mitra works as a Data Scientist in Microsoft on problems such as ranking, question-answering, language generation etc using millions of data from users with an objective of impacting that many users. He has a small background in Computer Vision from his earlier work in a startup.

He hails from the City of Joy and graduated in CS from Netaji Subhash Engineering College. He likes to spend time on neural architectures and their application to language understanding. He is currently authoring papers on the same.

Link to Rajarshee's LinkedIn: https://www.linkedin.com/in/rajarsheem/

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Session on Understanding Parts of Speech - Rebeka Mukherjee is researching on robot perception at the University of Utah - Robotics Centre. She has the experience of working with Clearlink as a Data Scientist.

Rebeka was one of the founding members of Women Techmakers Kolkata an invaluable volunteer to the Google Developers Group Kolkata and was a crucial part of the team that made GDG Kolkata's "Solve for India 2017" possible.

Link to Rebeka's LinkedIn: https://www.linkedin.com/in/rebekamukherjee/

Organizers

  • Indranil Dutta

    PwC India Pvt. Ltd.

    GDG Organizer

  • BINIT KUMAR MONDAL

    Cognizant Technology Services

    Co-Organizer

  • SOUVIK OJHA

    Event Organizer

  • Soham Sarkar

    Spinny

    Event Organizer

  • Sreeja Ghosh

    Google

    WTM Ambassador

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