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DataHour: Introduction to Optimization Problems for Data Scientists

Online 10-08-2022 08:00 PM to 10-08-2022 09:00 PM
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DataHour Recording

Find the resources used in the DataHour HERE.

About the DataHour:

Suppose you are Amazon. If you were to decide the most efficient delivery route for your partners, or the inventory amount of a certain product to be stored across different warehouses, how would you go about designing a data science solution that ensures efficiency and minimum cost?

This DataHour is going to introduce you to a very important AI technology – mathematical optimization – that solves mission-critical business problems. We’ll walk through the basics of optimization, discuss real-world examples and solve a business problem hands-on in Python.

Prerequisites:  Enthusiasm for learning Data Science and basic understanding of Mathematics.


Who is this DataHour for?

  • Students and professionals looking to expand their data science knowledge base
  • Data science professionals who want to accelerate their career growth

 

Speaker:

Anant Agarwal

Data Science Manager at Nissan

Anant Agarwal is a Data Science Manager at Nissan’s Global Digital Hub. An IIT Kharagpur alumnus, he received his MS on a full scholarship from University of Minnesota USA and MBA from Indian School of Business Hyderabad with Dean’s List. He is a 2-time 99.8 percentiler in CAT conducted by the IIMs and worked briefly at an adtech firm in San Francisco before joining Nissan.

Anant has spearheaded machine learning initiatives in supply chain, sales & marketing and aftersales at Nissan, and has experience with optimization, deep learning, scientific & distributed computing, and product analytics. He is also a national-level squash player and a fingerstyle guitarist.

You can follow him on Linkedin, Twitter, Facebook, Instagram and Youtube.

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