Episode 53

How To Transition From Economics Academia To A Career In Data Science - w/ Bhoomika

Mar 19, 202500:59:06On YouTube too
How To Transition From Economics Academia To A Career In Data Science - w/ Bhoomika thumbnail

In this episode, featured not-expert is Bhoomika Jaggi. Bhoomika is a data scientist who pivoted to a career in data science after a masters in economics and econometrics.

First moves to steal

  • Transition From Economics Academia To A Career In Data Science - w/ Bhoomika
  • How To Begin Learning Economics (Self Learning)
  • Resources: https://www.linkedin.com/in/bhoomika-jaggi/ ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- Timestamps:00:00 Intro + Background01:51 Bhoomika's message to all econ students everywhere 04:02 Economics Is NOT JUST Finance 05:43 How To Begin Learning Economics (Self Learning) 08:03 Bhoomika's background - 3 degrees in economics 11:07 Out of context and suddenly super technical Master's degree 13:47 PhD in Economics: Structure and Challenges 16:35 Development Economics: Understanding Inequality 20:10 The shocking truth about research in PhD econ 21:36 What is a MS in Econometrics all about?

Fast scan timestamps

00:00Intro + Background
01:51Bhoomika's message to all econ students everywhere
04:02Economics Is NOT JUST Finance
05:43How To Begin Learning Economics (Self Learning)
08:03Bhoomika's background - 3 degrees in economics
11:07Out of context and suddenly super technical Master's degree

Transcript-backed moments

A few lines worth stealing before you hand over the full hour.

Open on YouTube
00:00:02

What exactly does a masters in econometrics entail? When we actually do econometrics, we combine real world data with a theory. Seen with econometrics many times we are trying to estimate

00:00:10

many times we are trying to estimate causal effect and not correlation. I'm Nam Pandandy and in this episode featured not expert is Bumika Jagi. Bumika is a data scientist and has two

00:00:18

Bumika is a data scientist and has two master's degrees in economics and applied econometrics and data science and analytics respectively. People who are studying economics should be more

00:00:26

are studying economics should be more aware. They should come out of their economics bubble. And the second thing is invest the time in learning a programming language. Is there any

00:00:33

programming language. Is there any mathematical proof for one of capitalism or socialism/communism to be better than the other? I wanted to understand the inequalities in the world and why they

Show notes

In this episode, featured not-expert is Bhoomika Jaggi. Bhoomika is a data scientist who pivoted to a career in data science after a masters in economics and econometrics.


Resources:

https://www.linkedin.com/in/bhoomika-jaggi/



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Timestamps:00:00 Intro + Background01:51 Bhoomika's message to all econ students everywhere 04:02 Economics Is NOT JUST Finance 05:43 How To Begin Learning Economics (Self Learning) 08:03 Bhoomika's background - 3 degrees in economics 11:07 Out of context and suddenly super technical Master's degree 13:47 PhD in Economics: Structure and Challenges 16:35 Development Economics: Understanding Inequality 20:10 The shocking truth about research in PhD econ 21:36 What is a MS in Econometrics all about? 25:43 The Limitations of Economic Models - Game Theory 28:43 Navigating Data and Economics 33:23 Exploring Poverty and Financial Inclusion 40:23 Is socialism or capitalism better according to Economics Theory? 42:04 Bridging the Gap: Academia and Industry 46:01 Challenges with transitioning to data science 48:37 Tips for landing internships! 51:08 Career Opportunities for Economics PhD Students 54:52 Abundant opps for PhD economics in industry!!