
Chief Science Officer
Greater Seattle Area

Chief Science Officer
Greater Seattle Area
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, query intelligence with InfoSpace, click fraud detection with major search engines and large advertising clients.
Vincent is now Chief Science Officer at Authenticlick where he develops patent pending web analytics applications. In the last few years, he successfully launched DataShaping, AnalyticBridge, AnalyticBrain, AnalyticTalent, Frenchlane and many other websites. Vincent is a former post-doctorate of Cambridge University and University of North Carolina at Chapel Hill. He was among the finalists at the Wharton School Business Plan Competition and at the Belgian Mathematical Olympiads.
+ vgranville@authenticlick.net for inquiries about web analytics
+ vincentg@datashaping.com to invite me on your LinkedIn network
+ Join the DS group: www.datashaping.com/linkedin.shtml
+ Join the Analytic Bridge network: www.analyticbridge.com
+ Post a job ad: www.datashapingstore.com
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
(Privately Held; Internet industry)
August 2005 — Present (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.
(Privately Held; 1-10 employees; Information Services industry)
February 2004 — Present (4 years 4 months)
Largest network for analytic professionals. Bridging biostats, statistics, econometrics, computational finance, data mining, business intelligence, computer science, operations research, SAS, maths, risk management, market research, web analytics.
URL: www.analyticbridge.com
Keywords: biostatistics, statistics, quality control, econometrics, quantitative or 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
(Privately Held; 1-10 employees; Human Resources industry)
May 2002 — Present (6 years 1 month)
Advertising platform for analytic recruiters. Clients include:
Wells Fargo • JP Morgan Chase • Facebook • D.E. Shaw • Waterfront International ltd • Zango • Crossix • The College Board • Amazon.com • Citi Group • Connexus • Ingram Micro • Expedia • eBay • KPMG • Liberty Mutual • Ameriprise • Analytic Recruiting • Natpal • Authenticlick • Princeton Brand Econometrics • M Squared • NetJets • Parker Search • Maricopa County • United Services Automobile Association • Washington Mutual • RL Zapin Associates • Travelers Insurance • E*Trade • Windale Group • Martin Partners • Wunderman • Edvisors • New York University • VistaPrint • Cox Communications • ComScore • Network Solutions • AIMCO • Metron • Houston Advanced Research Center • AdKnowledge • Autobytel • Fair Isaac • Netflix • Moneris • Altrec • Navy Federal • Primedia Automotive • Berico Technologies • StarMine • FLSConnect • The Kinsley Group • The Brixton Group • Monitor110 • T. Rowe Price • Walgreens • Nielsen • HMS Holdings
(Privately Held; 1-10 employees; Internet industry)
May 2000 — Present (8 years 1 month)
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
(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
(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
(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
(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
(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
Ph.D., Statistics, Mathematics, Science, 1983 — 1993
Post doctorate, Statistics
web analytics, web mining, data mining, fraud detection
Royal Statistical Society,
American Statistical Association,
SEMPO,
Web Analytics Association,
Northwest Recruiters Association,
TDWI - The Data Warehouse Institute
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