Data Scientist (III) Resume Scottsdale, AZ - Hire IT People

SUMMARY

Data Analyst/Scientist with extensive experience in in depth analysis of big data, detecting underlying patterns, identifying values of internal/external data in product development, complex queries to match/merge multiple lead sources of data to enhance existing products as well as value test of the product, trouble shooting on existing systems.
Widely acknowledged as flexible detail oriented business expert, often trained new employees, producing reports for customer satisfaction with good communication skills. Expertise in: SAS, Hadoop and Hive Data Robot, Python, R.

PROFESSIONAL EXPERIENCE

Data Scientist (III)

Confidential,Scottsdale, AZ

Responsibilities

Analyzed big data on Credit and Debit transactions for several large banks including Confidential. for R & D purposes to build fraud prevention models like Common Point of Purchase (CPP), detecting claim matching criteria for each bank by running complex queries with return/claim files, trouble shooting on existing products like Return Notification File.
ACH transactions of NACHA contributions analysis to enhance existing products.
Developed Income Verification criteria by analyzing DOL (Department of Labor) data for 3 states to detect patterns of Unemployment Insurance fraud by matching/merging with in house data sources.
Designed and developed regulatory analytic methodologies on multiple lead data sources for development of new consumer products in team environment. For example, Customer Implementation Services to value tests of Check Transactions, ID Confidence, Account Owner Authentication etc.
Designed and developed duplicate item pattern detection for check transactions.
Analyzed Market Research Data for product building and enhancing, for example Zelle, P2P, B2B, and others and working closely with the Marketing Department, producing detail oriented reports in timely fashion for critical company decisions.
Analyzed counterfeit items, identifying the pattern in transactions that are not labelled as counterfeit by banks but could be possible counterfeit items.
Training new employees on in house data, existing Early Warning products.
Contributed to various adhoc projects to build and test financial fraud prevention tools, example ASU modeling tool.
Analyzed and explored external data in details, working closely with outside vendors to test the integrity of the data so that upper management could make important decisions.
Explored and value tested of the possible usage of new analytical tools like Paxata, Trifacta etc. so that informed decision could be made in purchasing new software.

Statistical Data Analyst (II)

Confidential, Scottsdale, AZ

Responsibilities

Developed and modified ETL programs to load (EBCDIC into SAS) and analyze Check Transactions, Return Items, etc. that were contributed on daily basis to Early Warning, producing summary reports for other departments.
Loaded and analyzed outside vender data like NSTN to be vetted and producing comparative analysis for public data KBM (in use) before being purchased by Early Warning.
Analyzing various existing Early Warning products’ performances, like Return Notification File, Payment Check, Deposit Check, Return Items Depository, Account Owner Authentication etc.
Quality verification and trouble shooting of different external as well as internal data.
Data prep for numerous internal/external projects.
Contributed in various adhoc projects involving both detail oriented descriptive and quantitative analysis over the years which required both analysis and writing reports using MS Excel, Power Point.

Statistical Analyst

Confidential

Responsibilities

Developed project based questionnaire, trained and supervised field officers (6 people) to collect data used in measuring various human developmental programs like effect of micro loan to rural women, food for education for unprivileged children, adult education program etc.
Participated various on the field data collection process on several occasions, analyzed data and modifying the questionnaire accordingly.
Running Statistical Analysis on the collected data, producing reports based on which future modifications of the developmental programs were determined using SPSS, Minitab, Fortran.

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Data Scientist (iii) Resume

Scottsdale, AZ

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