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Dr. Vincent Granville
  • Male
  • Issaquah, WA
  • United States
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Short Bio:
Well rounded, visionary data scientist with broad spectrum of domain expertise, technical knowledge, and proven success in bringing measurable added value to companies ranging from startups to fortune 100, across multiple industries (finance, Internet, media, IT, security), domains (data science, operations research, machine learning, computer science, business intelligence, statistics, applied mathematics, growth hacking, IoT) and roles (data scientist, founder, CFO, CEO, HR, product development, marketing, media buyer, operations, management consulting).

Vincent developed and deployed new techniques such as hidden decision trees (for scoring and fraud detection), automated tagging, indexing and clustering of large document repositories, black-box, scalable, simple, noise-resistant regression known as the Jackknife Regression (fit for black-box, real-time or automated data processing), model-free confidence intervals, bucketisation, combinatorial feature selection algorithms, detecting causation not correlations, automated exploratory data analysis with data dictionaries, data videos as a visualization tool, automated data science, and generally speaking, the invention of a set of consistent robust statistical / machine learning techniques that can be understood, implemented, interpreted, leveraged and fine-tuned by the non-expert. Vincent also invented many synthetic metrics (for instance, predictive power and L1 goodness-of-fit) that work better than old-fashioned stats, especially on badly-behaved sparse big data. Some of these techniques have been implemented in a Map-Reduce Hadoop-like environment. Some are concerned with identifying true signal in an ocean of noisy data.

Vincent is a former post-doctorate of Cambridge University and the National Institute of Statistical Sciences. He was among the finalists at the Wharton School Business Plan Competition and at the Belgian Mathematical Olympiads. Vincent has published 40 papers in statistical journals (including Journal of Number Theory, IEEE Pattern analysis and Machine Intelligence, Journal of the Royal Statistical Society, Series B), a Wiley book on data science, and is an invited speaker at international conferences. He also holds a few patents on scoring technology, and raised $6 MM in VC funding for his first startup. Vincent also created the first IoT platform to automate growth and content generation for digital publishers, using a system of API's for machine-to-machine communications, involving Hootsuite, Twitter, and Google Analytics.

Vincent's profile is accessible at http://bit.ly/1jWEfMP and includes top publications, presentations, and work experience with Visa, Microsoft, eBay, NBC, Wells Fargo, and other organisations.
Field of Expertise:
Big Data, Data Science, Business Analytics, Data Mining, Analytics, Visualization
Years of Experience in Analytical Role:
20
Professional Status
C-Level
My Website or LinkedIn Profile (URL):
http://www.linkedin.com/in/vincentg
What is your Favorite Data Mining or Analytical Website?
http://www.analyticbridge.com
Your Company:
Data Science Central
What other website do you recommend?
http://www.datasciencecentral.com

Short Bio

Dr. Vincent Granville is a visionary data scientist with 15 years of big data, predictive modeling, digital and business analytics experience. Vincent is widely recognized as the leading expert in scoring technology, fraud detection and web traffic optimization and growth. Over the last ten years, he has worked in real-time credit card fraud detection with Visa, advertising mix optimization with CNET, change point detection with Microsoft, online user experience with Wells Fargo, search intelligence with InfoSpace, automated bidding with eBay, click fraud detection with major search engines, ad networks and large advertising clients.

Most recently, Vincent launched Data Science Central, the leading social network for big data, business analytics and data science practitioners. Vincent is a former post-doctorate of Cambridge University and the National Institute of Statistical Sciences. He was among the finalists at the Wharton School Business Plan Competition and at the Belgian Mathematical Olympiads. Vincent has published 40 papers in statistical journals and is an invited speaker at international conferences. He also developed a new data mining technology known as hidden decision trees, owns multiple patents, published the first data science book, and raised $6MM in start-up funding. Vincent is a top 20 big data influencers according to Forbes, was featured on CNN, and is #1 in Gil Press' A-List of data scientists.

Dr. Vincent Granville's Blog

How Healthcare Organizations are Applying Predictive Analytics

Posted on August 7, 2015 at 10:30am 0 Comments

Glimpsing the Far Side—How Healthcare Organizations are Applying Predictive Analytics

Guest blog post by Paul Bradley

 

Anyone who works in healthcare—or who has pondered, even fleetingly, how it differs from other sectors of the American economy—likely won’t be surprised to hear it’s the final frontier for predictive analytics.

 

For indeed, while predictive analytics has long since reshaped retail, shipping & logistics, and even…

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Don't Go Back in Time - Infographics

Posted on May 5, 2015 at 9:26am 0 Comments

Nice infographics created by the Technology Services Group. TSG have also produced a blog post to complement the infographic, which you may find useful. It talks around how much technology has shrunk over the years and yet its power has grown.…

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Using Big Data to Target In-Market Shoppers

Posted on April 23, 2015 at 9:47am 0 Comments

Originally posted here.

Retailers know they need Big Data and are charging forward to get in the game.  But many retailers continue to face challenges. What type of data should be collected? How should the data be used to generate insights? How do I measure ROI?

Why Retailers Use Big Data

101data recently surveyed US retailers, across a range of…

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The Surprising Things You Don’t Know About Big Data

Posted on April 15, 2015 at 12:15pm 0 Comments

Infographics by AdeptiaYou’re probably familiar with the terms byte, megabyte, and gigabyte — but do you know what a terabyte is? How about a petabyte, or an exabyte?…

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