hal beck

About

Executive with more than 20 years in the financial services industry analyzing data and building models relating customer behavior to business processes and objectives. Has a diverse background in analytic tools and environments including the use of traditional statistics, big data and machine learning techniques, and integration of natural language processing approaches with advanced analytics. Developed and managed analytic teams, as well as, delivered as an individual contributor. Specialties: Executing the analytic process, including: clarification of business objectives, representation of the objectives with data, selection of appropriate analytic tool and approach, and delivery of analytic results.

Country

united states

City

san francisco

Industry

financial services

Skill

business intelligence, database marketing, data mining, analytics, crm, data analysis, financial services, analysis, business analysis, sas, predictive analytics, portfolio management, management, strategy, customer relationship management

Experience

senior analytic consultant and research engineer

ncr-teradata financial solutions group and scalable data warehouse team

1996-4 - 1999-7 · 3 yrs 4 mos

Part of a team of senior analysts responsible for advancing the state of the art of analytics and modeling. Worked across NCR-Teradata business units to develop analytic processes, tools, and solutions for clients. Performed data analysis with customers, strengthening customers’ analytic skills and expanding NCR-Teradata's understanding of customer analytic and processing needs. Provided input to product development teams in support of analytics and modeling. In addition, validated and formalized NCR-Teradata's Knowledge Discovery Analytic Process.

consulting systems engineer

bank of america artificial intelligence group

1994-11 - 1996-4 · 1 yr 6 mos

Worked in the Artificial Intelligence (AI) Group. Integrated machine learning and artificial intelligence methods with traditional analytic methods in numerous core areas, including Fraud Detection, Delinquency Prediction, and Attrition Modeling. The AI Group was a corporate resource responsible to team with in-house business partners, expanding their traditional tool sets with machine learning and artificial intelligence solutions, as appropriate.

senior vice president idbs modeling

wells fargo

2010-7 - 2016-5 · 5 yrs 11 mos

Managed advanced analytics team reporting to the Chief Data Office. Expanded text analytic program as a company resource to support business line and company text analytic needs. This included extension of language and tool support to include SPSS Modeler, R text analytics, and Astor text analytic tool suite. Incorporated machine learning and traditional analytic methodologies to augment the standard NLP analytics. Developed machine learning solutions on Big Data platforms as platform proof of concept for the Enterprise. Analytics included modeling both internal and victim fraud. Involved traditional regression, pathing, market basket analysis, and clustering.