34 min
93: How to Leverage Sports Analytics for a Standout Dataviz Portfolio — Featuring Shri Khalpada Data Viz Today
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- Technology
Are you looking for ways to make your work stand out in a crowded industry, like sports? Or maybe looking for a topic with pretty clean data to create a portfolio project? In today’s episode, we’re chatting with Shri Khalpada, a D.C. area creative coder and Principal Software Engineer at Cleaning the Glass, which is an NBA analytics website founded by Ben Faulk that’s available to the public and also has more robust tools for NBA teams. Shri shares how he increased his chances of landing a coveted sports analytics job, and a few lessons he’s learned working with sports data that can be applied to any dataviz job.
Let’s go!
Show notes: https://dataviztoday.com/shownotes/93
Grab my book Chart Spark, which has NINE prompts to help you be more innovative in your data communication: https://www.chartsparkbook.com
If you think the book deserves a review, I’d be so grateful if you shared your favorite part in an Amazon or Goodreads review 🙏🙏🙏
Sponsor: Data Elixir newsletter! https://dataelixir.com
Are you looking for ways to make your work stand out in a crowded industry, like sports? Or maybe looking for a topic with pretty clean data to create a portfolio project? In today’s episode, we’re chatting with Shri Khalpada, a D.C. area creative coder and Principal Software Engineer at Cleaning the Glass, which is an NBA analytics website founded by Ben Faulk that’s available to the public and also has more robust tools for NBA teams. Shri shares how he increased his chances of landing a coveted sports analytics job, and a few lessons he’s learned working with sports data that can be applied to any dataviz job.
Let’s go!
Show notes: https://dataviztoday.com/shownotes/93
Grab my book Chart Spark, which has NINE prompts to help you be more innovative in your data communication: https://www.chartsparkbook.com
If you think the book deserves a review, I’d be so grateful if you shared your favorite part in an Amazon or Goodreads review 🙏🙏🙏
Sponsor: Data Elixir newsletter! https://dataelixir.com
34 min