SAS Financial Crime Analyst

- Experience in Predictive Modeling, Machine Learning, Text Mining and Data Mining across multiple domains

- Expertise in Advanced Analytics: Logistic Regression, Linear Regression, Decision Tree, Artificial Neural Network, Cluster Analysis, Association Rules, Market Basket Analysis, ANOVA, Text Mining, Descriptive Statistics, Hypothesis Testing, Statistical Inference

- Working experience of Scorecard Model, Behavior Model, Cross/Up Sell Model, Customer Churn Model.

- Expertise in Graph Theory: Network Analytics, Community Detection, Centrality Measures Algorithms.

- Developed High-Performance-Analytics solutions with In-Memory, In-Database processing in Distributed/Parallel computing environment of Hadoop and Teradata.

- Extensive working experience in SAS, R, SDLC, Hadoop, Hive, UNIX Shell Scripting, Teradata, Agile.

- Experience on huge volume of data with billions of records (Terabytes) for ETL & analytical processing.

- Have knowledge of Python, HDFS, Map-Reduce, HBase, Pig, Sqoop.

- Provides mentoring on High-Performance, Parallel Programming in SAS on distributed Data Environment in Hadoop/TeraData.

- Provides training on Base & Advance SAS Certifications for SAS 9.

Fraud & Financial Crime :

- Developed reporting and analytical solutions built on the SAS Anti-Money Laundering and Enterprise Case Management solutions

- Developed ETL processes to automatically create, assign, and route investigations to the proper business workflow

- Developed process to strategically assign AML alert investigations based on multiple business rules and priorities

- Developed historical conversion processes to migrate existing operational data into SAS Anti-Money Laundering and Enterprise Case Management solutions

- Develop enrichment processes to enhance AML alert scenarios

SAS Business Intelligence & SAS Visual Analytics :

- Developed web-based reports, scorecards, and dashboards using SAS Information Delivery Portal, Web Report Studio, BI Dashboard, Stored Processes, and SAS Server pages.

- Developed reports and explorations in SAS Visual Analytics

- Developed methods to streamline analysis and present business critical information through a combination of SAS BI dashboards and web-based reporting.

- Developed a stored process to selectively import users from MS Active Directory to SAS Metadata

- Developed custom themes for the SAS Information Delivery portal for corporate branding

- Developed ad-hoc reports using Base SAS and Enterprise Guide