Rakesh Chintha

Senior Data Scientist - Customer Loyalty Data Science & Analytics @American Express

Phoenix, AZ, US
EMAILS
r••••••••@aexp.com
MOBILE NUMBERS
+17•••••••12

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WORK HISTORY

Jun 2013 — Present

Senior Data Scientist - Customer Loyalty Data Science & Analytics @American Express

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Phoenix, AZ, US

Worked for various business units such as Credit & Fraud Risk, Enterprise Loyalty Analytics, anddeveloped a variety of data products, predictive models, and end-to-end machine learning capabilitiesutilizing Java, Python, Hive/SQL, and supported various risk management use cases spanning acrossentire customer life cycle such as new member acquisition targeting & marketing, underwriting, creditline assignment, customer segmentation, fraud prevention, bonus gaming prevention, ineligible spendidentification, factoring, and merchant collusion.* Engineered and executed 30+ end-to-end ETL pipelines, critical scanners, and solutions utilizingadvanced analytical methods and machine learning approaches using Python, PySpark, Hive, andAirFlow; that helps combat loyalty fraud across enterprise-wide products and services; spanningacross multiple loyalty currencies such as Membership Rewards, Cobrand, and Cashback; accountingfor recoveries of $20MM annually.

EDUCATION

2003 — 2007

Jawaharlal Nehru Technological University

Bachelor of Technology, Electronics & Communication Engineering

2007 — 2009

University of Houston

Master of Science (M.S.), Computer Engineering

SKILLS

HibernateJavascriptSoapMysqlJmsJavaSqlHadoopSpringJava Enterprise EditionWeb ServicesBig DataAjaxMavenPl/SqlMongodbTomcatD3.jsWebsphere Application ServerJspSolrJ2eePerlPythonMachine LearningSpring FrameworkOracle Sql DeveloperSoftware Development Life Cycle (Sdlc)ActionscriptJqueryCloud ComputingNosqlUnix Shell ScriptingOracle SqlSpring BatchSpring IntegrationJasper ReportsActivemqXml SchemaWsdl

ABOUT RAKESH CHINTHA

Senior Data Scientist with 12+ years of professional experience in the financial services industry working on high-impact business use cases such as bonus gaming prevention, fraud prevention, and risk management.

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