Bruce’s data science expertise is apparent as he is the author of the bestseller textbook and reference book "Statistical and Machine-Learning Data Mining of Big Data" (3rd ed.).
Bruce's consulting success is affirmed by assuring his clients' marketing decision problems are solved with the ...
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Bruce’s data science expertise is apparent as he is the author of the bestseller textbook and reference book "Statistical and Machine-Learning Data Mining of Big Data" (3rd ed.).
Bruce's consulting success is affirmed by assuring his clients' marketing decision problems are solved with the optimal problem-solution methodology and timely delivery of project results.
He is an often-invited speaker at public industry events, e.g., the SAS Data Mining Conferences and private seminars of Fortune Magazine’s Top 100 Companies. Bruce's proficiency in SAS, R, and Python rounds out his skill set.
Go to:
http://www.dmstat1.com/about.html and
http://www.geniq.net/articles.html
http://www.geniq.net/res/TableOfContents3rdEdition.pdf
A partial list of Consulting Projects; the Clients' Objectives:
Increase Response Rates;
Drive Costs Down, Revenue Up;
Increase Customer Retention;
Stem Attrition;
Check Churn;
Increase Customer Affinity;
Credit Risk Models and Basel Compliant Risk Rating Scorecards;
Strengthen Fraud Detection Systems; Market Segmentation for Effective Product Positioning;
Increase Value of Customer Retention; Generate B2B Leads for Increase Profitability;
Build CRM Models for Identifying High-value Responders;
Optimize Price and Package Offerings; Right Offer at the Right Time with the Right Channel;
Forecasting with Time-series, and Non Time-series Data;
Increase the Yield of Nonprofit Fundraising Campaigns;
Optimize Customer Loyalty;
CRM for Cross-Sell and Up-Sell;
CRM Segmentation for Targeted Marketing;
Credit Scoring to Control Risk;
Retain Best Customers and Maximize Their Profits;
Nonprofit Modeling:
Remaining Competitive and Successful, and Subprime Lender Short Term Loan Models for Credit Default and Exposure; Retail Revenue Optimization:
Nonprofit Modeling:
Remaining Competitive and Successful; Detecting Fraudulent Insurance Claims; Cross-Sell, Up-Sell to Improve Response Rates, Increase Revenue;
Credit Scoring for Risk Control;
and so on.
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