Sr. Business Intelligence Developer Resume

EXPERTISE AREA:

EXPERIENCE:

Confidential

Sr. Business Intelligence Developer

Responsibilities:

Optimized and published simulated cancer tumor evolution via Confidential thru first detection, chemo and second detection events and analytics using Spark/Scala/Hive/bash, reducing compute time from weeks to minutes and allowing orders of magnitude larger tumors.
Co - developed Expression Quantitative Trait Loci genomic pipeline for breast cancer to a newly designed Hadoop Cluster utilizing bash scripts, python, MapReduce and Spark/Scala from initial Confidential downloads thru full statistical analysis, reducing time to complete from several months to one day.
Enabled researchers to view and analyze various genomic formatted datasets with Hive, Hue, Ambari, SparkR, SparkSQL, PySpark.
Acting manager of the Next Generation Cyber Capabilities development team: managed several contractor developers, vetted potential open source distributed software for cancer research and engaged multiple vendors for software, service and support.

Confidential

Senior Statistical Programmer

Responsibilities:

Trained entire team on Hive and SAS programming efficiencies.
Standardized data transfer, storage, code documentation, merge key formatting and efficient processing utilizing SAS and Hadoop clusters saving orders of magnitude in compute time.
Developed credit card Point of Compromise evolutionary model and multi-bank common point of purchase logics.
Created Id Confidence score logic and variables for government programs and banking (new and existing accounts).
Designed and developed new fraud network/graph encoding and identity matching framework.

Confidential

SAS Programmer

Responsibilities:

Developed enhanced Financial Advisor Opportunity Manager data warehousing and tracking for analytical, modeling and ad-hoc executive scorecard.
Provided ad-hoc analytics with SAS and Excel programming support for Ameriprise Information Management team.
Designed and developed Auto and Home Insurance text mining and analytics for Confidential and routing of damage severity and loss.

Confidential

SAS System Specialist

Responsibilities:

Banking regulation required porting Student Loan modeling data and code from PC SAS to Enterprise Guide connected to Oracle servers over virtual secured Citrix connection.
One month contract.

Confidential

Lead Programmer Analyst

Responsibilities:

Designed and developed in-depth customer, geographic and industry risk and economic trend analytics and monitoring to bolster short term risk model scores (patent pending); developed utility solutions for modeling automation, missing replacement and variable selection as well as dependent variable creation from time series performance data; developed credit decline reason code logics to address legal decline letters; developed and optimized cost/benefit economics optimizations for point of sale authorizations for both small business and corporate systems; developed machine learning algorithms to optimize lending line assignment, case review triggers, risk probability confidence intervals; automated corporate collections and acquisition response models.
SAS programming support and mentoring, Confidential simulations, swap-set analytics, trend monitoring, genetic algorithm optimizations, search algorithms, data mining, automated logistic bootstrap modeling, complex relational data merges and pattern matching.