Ken's Nearest Neighbors

How a Sports Agent Uses Data Science (Ian Greengross) - KNN Ep. 104

Jun 22, 2022

01:18:46

Highlights

AI Chapters

Episode notes

How Mentorship Shouldn't Work

04:52

I Love the Project Concept

05:02

Python Meetups - Mentorship in Python

02:32

Introduction

3min

The Origins of Computer Programming

4min

How I Learned Computers, You Know?

2min

I Love Programming, but All the Jobs Back Then, I Loved It

4min

I Was in Law School and I Worked for a Sports Agent

6min

Python - Getting Started With a Python User Group

5min

Using Python to Predict a Player's Contract

2min

Python Meetups - Mentorship in Python

3min

Is There a Community That's Open Source?

4min

10.

What Do You Do in the Real World?

3min

11.

How Mentorship Shouldn't Work

5min

12.

I Love Solving Puzzles

6min

13.

Isn't It Fun to Build Anything With Code?

3min

14.

The Big Data Cup

5min

15.

I've Become Pretty Good at Using Random Fores or Random Forests

4min

16.

I Love the Project Concept

5min

17.

I'm a Living Proof of That

6min

18.

You Don't Just See the Stakes, You Dont Just Slaughter the Cows, Right?

4min

19.

Athletes Are Our Last Warriors

2min

20.

The Secret of Being Successful as an Agent

3min

Today I had the pleasure of interviewing Ian Greengross. Ian is my friend, a business partner, and a sports agent with over 25 years of experience. He represents: NFL players, football coaches, hockey coaches and now data scientists. In this episode, we learn about how Ian uses data in his work as a sports agent, and how even late in his career he is finding joy in programming. Special thanks to Nick Wan for the introduction.

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