Daniel Kocis Jr., Ph.D.

Applied Multivariate Algorithms provides quantitative advisory services focused on root cause analysis, event notification, process verification and add-delete-modify actions by developing statistical models across a variety of big data industries using multivariate statistical toolkits such as SAS9.3 and SPSS Modeler15 and not open source or low-level applications. Examples include:

1.) Identifying high/low opportunity segments to marketing effort based upon exposures to various persuasions ( TV Ads, Banner Ads, Direct Mail offers, network of Friends, key word search patterns)

2.) Identifying future credit risks using Credit Bureau variables and payment patterns while providing underwriting guidelines

3.) Identifying triggers in finance positions/network failures/ clinical diagnostic outcome from streaming data momentums combined with text mining

4.) SAS Administrator – Responsible for 9.2 migration to 9.3 BI on NETEZZA, ORACLE, MSSQL and MySQL using Stored Processes with JSP interface, WebReport Studio based upon real time views, SAS Portal promotions.

Disruptive thought leadership optimized to the development of predictive process and reporting strategies of nontraditional business metrics with key insights filtered back to senior management. Defined strategy and infrastructure requirements that integrated these objectives and drives calculable ROI There are multiple successes within the financial services-consumer credit -risk, consumer network operations, and marketing industries using disparate data and creating unique quantitative models with multivariate techniques using advanced analytics, interactive dashboards, visualizations and event notification/predictions.