Vincent Granville

Current

• Founder and CEO at AnalyticBridge
• Principal at DataShaping.com

Past

• Advisory Board Member at Click Forensics
• Chief Science Officer at Authenticlick
• Web Mining, Web Analytics, Data Mining, and Click Fraud Expert at InfoSpace

• User Behavior, Data Mining and Web Analytics Consultant at Wells Fargo
• Senior Fraud Consultant at Visa
• Senior Statistician at CNET
• Research Fellow at National Institute of Statistical Sciences

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Education

• Facultés universitaires 'Notre-Dame de la Paix'
• Cambridge University, England

Recommended

15 people have recommended Vincent

Connections

500+ connections

Industry

Internet

Websites

• AnalyticsBridge
• Analytic Consulting
• Join our LinkedIn Group

Vincent Granville’s Summary

Dr. Vincent Granville has successfully solved problems for 15 years in data mining, text mining, predictive modeling, business intelligence, technical analysis, keyword and web analytics. Vincent is widely recognized as the leading expert in click scoring and web traffic optimization. Over the last ten years, he has worked in real-time credit card fraud detection with Visa, advertising mix optimization with CNET, A/B testing with LowerMyBills, online user experience with Wells Fargo, search intelligence with InfoSpace, click fraud detection with major search engines and large advertising clients, as well as statistical litigation.

Vincent was formerly Chief Science Officer at Authenticlick, where he developed patent pending technology. Most recently, he successfully launched DataShaping and AnalyticBridge, the largest social network for analytic professionals, with 10,000 members. 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.

+ Email: vincentg@datashaping.com

Vincent Granville’s Specialties:

data mining, six sigma, web analytics, text mining, pattern recognition, crm, sas, predictive modeling, splus, jmp, perl, web mining, machine learning, knowledge discovery, ai, sql, large data sets, data analysis, survey analysis, customer profiling, churn, user retention, search engine, query intelligence, credit card fraud, click fraud, scorecards, clustering, decision trees, logistic regression, advertising mix optimization, pareto analysis, business intelligence, design of experiments

Vincent Granville’s Experience

• Founder and CEO

  AnalyticBridge

  (Internet industry)

  February 2008 — Present (1 year 6 months)

  Largest social network for analytics professionals (10,000 members), with revenue generated through consulting and online advertising (job and banner ads). Sales, marketing, advertising campaigns management, keyword and ROI optimization. Clients include eBay, Expedia, Facebook, Elsevier, small companies and major ad agencies. Consulting with advertisers and ad networks on keyword taxonomies, ROI optimization, Internet security, keyword intelligence and bidding strategies.
  
  AnalyticsBridge is a social network for people with interest in biostatistics, statistics, quality control, econometrics, quantitative / computational finance, ETL, data warehousing, data analysis, CRM, artificial intelligence, data mining, knowledge discovery, knowledge management, pattern recognition, business intelligence, electrical engineering, mechanical engineering, computer science, physics, operations research, predictive modeling, forecasting, time series, statistical programming (SAS, Splus, SPSS), customer profiling and segmentation, QA, six sigma, survey analysis, web analytics, text mining, bioinformatics, pharmaceutical, actuarial science, web mining, mathematics, market research, decision science, marketing databases, competitive intelligence, risk management, fraud detection or similar experience.

• Principal

  DataShaping.com

  (Internet industry)

  May 2000 — Present (9 years 3 months)

  Creation of the leading and most visited data mining meta directory and analytical job board with 500,000 yearly page views. Statistical consulting until 2005. Past clients include Visa (credit card fraud detection), LowerMyBills (A/B testing, web analytics), Wells Fargo (web analytics), InfoSpace (click fraud detection, text mining, data mining, web analytics).
  
  Starting in 2006, strategic partnerships with Arbita and other job ad networks. Creation of the first blog exclusively focused on statistical jobs. Attracted advertisers such as Amazon, Yahoo, Chase, Facebook and hedge funds in US and abroad.
  
  The DataShaping network now includes AnalyticBrain.com (blog for recruiters), AnalyticTalent.com (blog for job seekers), AnalyticResumes.com and AnalyticGroup.com (Google group).
  
  Keywords: web analytics, statistics, biostatistics, quant, econometrics, analytics, risk management, data mining, computer science, SAS, operations research, six sigma

• Advisory Board Member

  Click Forensics

  (Privately Held; Internet industry)

  June 2008 — July 2009 (1 year 2 months)

  Initially hired as Chief Scientist. Improving Bayesian click scoring platform for search engines, ad networks and advertisers. Identified major botnet. Keyword analytics: prediction of keyword conversion for keywords with no historical data. Designed tool to find associations between web sites via web scraping and text mining techniques. Developed new hybrid statistical and data mining technique known as hidden decision trees. Invited speaker: Predictive Analytics World, SAS International Data Mining Conference.

• Chief Science Officer

  Authenticlick

  (Privately Held; Internet industry)

  August 2005 — May 2008 (2 years 10 months)

  Authenticlick is the leader in the emerging market for web traffic quality scoring solutions for online advertisers, ad networks, search engines and publishers. Venture-backed and advised by leading executives and entrepreneurs in interactive marketing, Authenticlick aims to drive greater transparency in the online advertising market through a standardized quality scoring system and powerful web traffic quality reporting and analysis tools. Authenticlick’s patent-pending analysis platform and scoring methodologies enable advertisers to obtain a unique view of the quality of their web traffic and take actions to dramatically improve conversion and return on ad spend.
  
  I prototype traffic scoring and ROI optimization algorithms (real time, end-of-day), the rule discovery system, the machine learning platform and web analytics in general.
  
  Keywords: click scoring, data mining, text mining, web analytics, ROI optimization, advertising mix, AdSense, AdWords, botnet detection.

• Web Mining, Web Analytics, Data Mining, and Click Fraud Expert

  InfoSpace

  (Public Company; 501-1000 employees; INSP; Internet industry)

  September 2004 — June 2006 (1 year 10 months)

  Click scoring technology, query intelligence, web analytics, business intelligence related to mobile search. Designed click fraud detection algorithms to process billions of clicks. Created rule selection and rule discovery system for fraud detection, based on machine learning (unsupervised clustering), design of experiments, robust cross validation and linkage with external data sources (Google search results) to discover additional fraud patterns. Enhanced keyword taxonomies using data driven algorithms to detect keyword associations. Defined and tested metrics for keyword correlations. Developed multi-threaded web crawler to feed text mining algorithms with rich, targeted data sources related to local search and / or yellow pages.
  
  Keywords: data mining, text mining, query intelligence, keyword taxonomy, clustering algorithms, impression fraud, click fraud detection, click quality, search engine, web analytics, web crawler, design of experiments

• User Behavior, Data Mining and Web Analytics Consultant

  Wells Fargo

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

  June 2004 — February 2005 (9 months)

  Analyse online traffic on B2B platform to optimize user experience.
  
  Keyword: data mining, web analytics, wells fargo, toad, oracle

• Senior Fraud Consultant

  Visa

  (Public Company; 10,001 or more employees; Financial Services industry)

  February 2003 — May 2004 (1 year 4 months)

  Develop proprietary feature selection system (200x faster than SAS Enterprise Miner) to detect first instances of fraud and horizontal (single ping) fraud in real time. Production of US zip code maps showing fraud simultaneously in the time, location, recency and volume dimensions. SAS, Perl, C, R, Splus.
  
  Keywords: decision trees, SAS Enterprise Miner, fraud detection, data mining, web analytics

• Senior Statistician

  CNET

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

  June 1996 — May 2002 (6 years)

  Web analytics. CRM. Advertising reach and frequency: provided mathematical formula. Inventory forecasting. Price elasticity modeling. Web robot. Advertising mix optimization. Customer profiling. User retention, churn. Data Warehousing. Web traffic forecast (with automated alarm system to notify product managers of traffic abnormalities). Automating production of various reports (dashboard, quarterly reports for financial analysts). Perl, Sybase, SQL, SAS, CGI, C.
  
  Keywords: web analytics, data mining, metrics, market research, market intelligence, business intelligence, competitive intelligence, SAS

• Research Fellow

  National Institute of Statistical Sciences

  (Government Agency; 51-200 employees; Research industry)

  July 1995 — June 1996 (1 year)

  Environmental statistics. MCMC. Hierarchichal Bayesian models. Clustering. Storm modeling (time series, spatial processes). Hanford nuclear reservation: risk analysis (leakage) using space / time models. Simulation of bivariate exponential distributions.
  
  Keywords: data mining, hierarchical clustering, Fortran, C, general linear models

Vincent Granville’s Education

• Facultés universitaires 'Notre-Dame de la Paix'

  Ph.D. , Statistics, Mathematics, Science , 1983 — 1993

• Cambridge University, England

  Post doctorate , Statistics

Additional Information

Vincent Granville’s Websites:

• AnalyticsBridge
• Analytic Consulting
• Join our LinkedIn Group

Vincent Granville’s Interests:

web analytics, web mining, data mining, fraud detection, writing a book entitled "Data Mining with the Naked Eye"

Vincent Granville’s Groups:

Royal Statistical Society,
American Statistical Association,
SEMPO,
Web Analytics Association,
Northwest Recruiters Association,
TDWI - The Data Warehouse Institute

•    DataShaping Advanced Analytics
•    Analytic Bridge

Vincent Granville’s Honors:

Finalist, Wharton School Business Plan Competition
Finalist, Belgian Mathematical Olympiads
Ph.D. Summa Cum Laude
Publications in top scientific journals including IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Royal Statistical Society (series B), Journal of Number Theory, Computational Statistics and Data Analysis
Invited speaker at Ad:Tech, The American Statistical Association Conference, Duke University, CWI (Amsterdam), Imperial College (London), National Institute of Statistical Sciences

Vincent Granville’s Contact Settings

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