Business Analyst / Predictive Modeler Resume

SUMMARY:

An Experienced Business Analyst / Applied Statistician / Predictive Modeler with expertise in the areas of Fraud Detection, Risk Profiling / Management, Insurance Loss Prevention, Workload Measurement & Management, Subrogation Recovery Management, Business Process Improvement, Business Analysis of Key performance Indicators (KPI) and Automobile Theft Deterrent (ATD) systems operating in a deadline driven fast paced environment;
Self Starter and an ability to be productive
Ability to comprehend complex business scenarios and blend in corporate culture readily
Effective utilization of Information Technology for attaining corporate goals
Individual Contributor / an effective Team Leader / Member in significantly diverse Corporate and Consulting groups
Effective Communication Skills and an ability to meet project deadlines unconditionally

SUMMARY OF TECHNICAL SKILLS:

Hardware: Windows Platforms, IBM MainframeOperating Systems Windows XP, WINDOWS 10

Languages: SQL, SAS, PROLOG (AI software language)

Analytics Software: SAS, PC SYSTAT, CRYSTAL BALL, BEST FITDatabase Systems MS ACCESS, MS EXCEL (spreadsheet)

Presentation Software: MS POWEROINT, VISIO, MS WORD

Business Intelligence: COGNOS ; ACCESS

Summary of Statistical Algorithms / Modeling Functions used: Forecasting Techniques, Time Series, Analysis of Variance, Covariance, Correlation, Uni - variate / Multivariate Multiple Regression, Logistic Regression, Discrimination / Classification, Monte Carlo Simulation, Chi Square Distribution etc Extreme Event Analysis / Modeling Return Periods

Industries / Application Background: Property Insurance Claims, Safety / Reliability of Theft Deterrent Systems, Government Agencies responsible for National Security, Justice and Law, DOT Oil Transportation, NASA Aero Space - Remote Sensed Information for Agriculture and Natural Resource Applications

PROFESSIONAL EXPERIENCE:

Confidential

Business Analyst / Predictive Modeler

Responsibilities:

Developed an algorithm on a mainframe system for analyzing large files to accomplish the following Extensive Informational reports were generated, Subrogation efficiency Ratios were statistically characterized with respect to trends in time and their distribution. Final reports were:
Analysis of past claims / losses by Month and YTD and for the preceding two Years / Year over Comparisons for the company performance;
Identification of key stake holders involved and their roles, Executives, Group Heads and IT Stakeholders
Developed algorithms using analytical methodology on a mainframe system for analyzing large files, generated reports via COSGNOS / SQL facilities to accomplish the following:
Extensive Informational Reports were generated reflecting Excel Charts and Pivot Tables to highlight trends over time and their distribution across categories

Confidential

Sr. Business Analyst / Consultant

Responsibilities:

Analysis of past decade or so Auto Theft Deterrent Systems (Passive, Active, Parts Making) across Model Years, Demographics of drivers -- Age, Population Density, Urban/Suburban, Crime Index.
Identification of previous US and other Country Auto Safety / Theft Research Study Reports / Critique models, Review of Existing Literature on Logistical Regression
Analysis of data for establishing a trend (mega - millions of records across many model years / model lines and Makes)

Confidential

Operations Research Analyst

Responsibilities:

Analysis of current product Marketing Channels, the processes involved, Customer Service functions and Geography serviced past
Current Service Product / Company - Evaluated with respect to their results delivery
Evaluation of other Available Products in the Market Place
Established Process Flows for better comprehension
Streamlined Solution for efficient Policy Issuance and Semi-Real time service for problems that may arise due to demographics of certain population segments

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