Mike Greenfield

Current

CTO and Co-Founder at Bantr
Rankings Guy at Team Rankings

Past

Sr. Analytics Scientist at LinkedIn
Sr. Fraud R&D Scientist at PayPal
Women's Squash Coach at Stanford University

Statistical Software Engineer at Xamplify
Intern at Hewlett-Packard

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2 more...

Education

Stanford

Recommended

7 people have recommended Mike

Connections

367 connections

Industry

Internet

Websites

Mike Greenfield’s Summary

I'm currently working on building out Bantr and Circle of Friends, and helping Team Rankings however I can.

My background is in math / stats / analytics / algorithms; I love to solve technical problems, optimize things, and tinker (in lots of ways).

Mike Greenfield’s Specialties:

Statistical modeling and analytics, viral marketing, a/b testing, decision trees, network analysis, fraud/risk, facial recognition, semantic matching, interactive search, sports ratings and predictions, investigative reporting, multivariate statistics, making stuff scale, Java, Perl, PHP, SQL, AJAX.

Mike Greenfield’s Experience

CTO and Co-Founder

Bantr

(Internet industry)

June 2007 — Present (1 year 5 months)

Circle of Friends, our primary product, allows people to build small communities of friends who have common interests and backgrounds. It is one of the largest applications on Facebook (over 8 million installs), and is also available on MySpace, Bebo, and hi5.

We are working on building out the next set of great targeted features for our users and their circles.
Rankings Guy

Team Rankings

(Internet industry)

January 2000 — Present (8 years 10 months)

Team Rankings offers up a wide range of evaluative and predictive tools and analyses for sports fans. Team Rankings and its users annihilate their competition in NCAA Tournament pools: our algorithmic March Madness predictions outperformed 32 out of 33 NCAA basketball experts, number crunchers in a Wall Street Journal competition.
Sr. Analytics Scientist

LinkedIn

(Privately Held; 51-200 employees; Internet industry)

February 2004 — January 2007 (3 years)

Ran LinkedIn's analytics team. Responsible for:

-Designing Analytics Prototyping Engine, to test new personalized, analytics-driven content
-Defining and tracking LinkedIn's important business metrics
-Building intelligent algorithms for standardizing data
-Building statistical models to match users with targeted jobs, other similar users, portions of the site they may find interesting, and other relevant content
-Defining a framework for testing the effect of different interface elements on LinkedIn's metrics
-Understanding and working to optimize LinkedIn's viral growth
Sr. Fraud R&D Scientist

PayPal

(Public Company; 1001-5000 employees; ebay; Internet industry)

December 2000 — August 2004 (3 years 9 months)

I was responsible for much of PayPal's back-end fraud modeling. I designed and coded a program which allowed me and my colleagues to easily build predictive mathematical models to track down fraud.

Using my software, I built about twenty statistical models to assess the risk of PayPal's users, and my colleagues used it to build another 30-40 models. The models were then implemented on the site's back end (by one of us and/or engineering) to find fraudulent transactions before money from them left the system.
Women's Squash Coach

Stanford University

(Educational Institution; 10,001 or more employees; Higher Education industry)

September 2001 — June 2003 (1 year 10 months)

Helped students build a women's squash team at Stanford. Coached practice three times a week, and took team to Nationals and other matches.

Much to the benefit of the team, I've been succeeded by a far more accomplished coach: Mark Talbott, former world #1 player, and former national championship coach at Yale.
Statistical Software Engineer

Xamplify

(Privately Held; 11-50 employees; Internet industry)

February 2000 — December 2000 (11 months)

Designed and implemented systems for classifying a web site's users based on responses to multiple choice questions. Built up a Bayesian clustering algorithm, to allow for straightforward but meaningful marketing segmentation.
Intern

Hewlett-Packard

(Public Company; 10,001 or more employees; hpq; Internet industry)

June 1999 — December 1999 (7 months)

Built a tool to analyze web site behavior.

Mike Greenfield’s Education

Stanford

B.S., Mathematical and Computational Science, September 1996 — March 2000

Graduated with Honors in Mathematical and Computational Science

Activities and Societies:

Captain of Squash Team; minor in Political Science