Analyzing Blockchain Data and Cryptocurrencies

As real-time, publicly-available ledgers of transactions, blockchains provide exciting new data analytics opportunities. Kimberly Grauer leads us through the tools and approaches for blockchain analytics.

Kim:
• Is Director of Research at Chainalysis Inc., the world’s leading crypto analytics firm.
• Previously worked in an economic research and analysis group for NYC.
• Holds a Masters in Political Theory from the University of Oxford, a Master of Public Administration from the London School of Economics, and she completed the General Assembly Data Science bootcamp.

Today’s episode will appeal primarily to folks who are interested in blockchains and cryptocurrencies, particularly those keen to perform data analysis on blockchain data.

In this episode, Kim details:
• The unique real-time economic-data analytics opportunities that blockchains provide.
• Examples of her own research on blockchain data, such as analyses of illegal activity and global crypto adoption.
• The tools and approaches she uses daily to analyze and report on blockchain data.
• Where the evolutions of crypto, blockchains, and data science are going together.
• Why a data science bootcamp could be exactly the right thing for you if you’re looking to break into the field.

The SuperDataScience show's available on all major podcasting platforms, YouTube, and at SuperDataScience.com.

Blockchains and Cryptocurrencies: Analytics and Data Applications

Today's episode introduces what Blockchains are, what Crypto is, and Data Science applications of these technologies. Philip Gradwell of globally-renowned Chainalysis Inc. is our brilliant guide.

Philip:
• Is Chief Economist at Chainalysis, the world’s leading crypto analytics firm — their analysis is regularly featured by major news outlets.
• Previously worked as Principal at Vivid Economics, where he helped grow the consulting firm to 40 people, eventually culminating in its acquisition by consulting giant McKinsey & Company.
• Holds a Master’s in Economics from UCL and a PPE degree — that’s Philosophy, Politics, and Economics — from the University of Oxford.

Today’s episode will appeal to anyone looking for an introduction to the blockchain and cryptocurrencies. It’ll hold special appeal for people keen to do data science with these technologies.

In this episode, Philip details:
• Similarities and differences between analyzing cryptocurrencies and the established fiat currencies.
• His crypto data analytics pipeline.
• How he develops data products for a wide range of users, including businesses, banks, governments, and law enforcement.
• How the blockchain facilitates innovative computing and machine learning technologies.
• What he looks for in the data scientists he hires.

The SuperDataScience show's available on all major podcasting platforms, YouTube, and at SuperDataScience.com.