Data Sales

Pinki Nathani (Business Insights- Data Analyst)

**** **** ***** #***, *** Jose, CA 95125 408-***-**** aczcpf@r.postjobfree.com

Authorized to work in the US for any employer

Professional Summary

7 years of extensive Fraud Analytics experience in US Credit Card and Healthcare industry. Currently, employed with TCS-Market Access Team (Life Sciences) as a Subject Matter Expert for Statistical Modeling. Previously worked with Optum (subsidiary of UnitedHealth Group) for Payment Integrity Fraud, Waste and Abuse (Healthcare Analytics and Modeling) and prepared RFP’s for Business Development Support. Prior to this, worked on Credit Card Fraud Analytics for American Express. Trained New Hires on Processes and Technical Skills throughout career.

Business and Technical Skills

Risk Modeling Data Analytics Statistical Analysis

SAS Enterprise Guide

SQL Queries

Microsoft Office (Word, Excel, Power Point)

R Language

Tableau (Trained)

Professional Experience: 7 years

Tata Consultancy Services, India (Apr ’16-Present) Assistant Manager- Analytics

Training and leading a team of 2 members along with managing projects honing analytical techniques

Excel Modeling on Cost Effectiveness Analysis, Budget Impact Analysis, Cost of Illness Analysis

Worked on General Electric’s value proposition for Ethiopian market to reduce the Mortality Rate

Defined performance indicators to monitor efficiency with global partners

Performed Sensitivity Analysis to determine Cost Effectiveness of a drug

Leveraging the Patient Data to help providers better track patient care at both individual and population levels

Getting oriented on Market Access (RWE, HEOR, Pre-Sales)

United Health Group, India (Oct ’12-Apr ’16) Senior Business Analyst

Data Extraction and Analysis using SQL queries and SAS Coding for:

oEmployer and Individual Insurance Provider Data

oMedicare and Retirement Benefits Provider Data

Expert in analyzing large Healthcare data sets including data step processing, data manipulation, macro creation, data transformation and optimization

Performed Peer Analysis to compare different providers in terms of number of claims, amount charged, geographic region and other attributes and hence, identify fraudulent outliers

Performed regular Data Analysis of US Healthcare- Fraud and Abuse Schemes and report out accordingly

Used different statistical techniques like Correlation, Markov Chain, Testing, Clustering, Regression, Forecasting, Time Series while scrutinizing data for building models

Developed and Implemented Prospective and Retrospective Rules for Fraud Detection and Prevention

Managed the entire designed process involving supporting data extraction, documentation, programming and testing

Provided support to various Modeling and MIS teams on key data related projects

Model performance monitoring and back testing

Strong skills developing strategies to analyze appropriate data to meet business objectives and implement solutions

Supervised and mentored 2 new team members along with helping them achieve their goals

Ideation of New Fraudulent Patterns Emerging From Data and Its Implementation

Prepared weekly and monthly dashboards and productivity reports for stakeholders.

American Express Private Limited, India (Feb ’10-Sep ’12) Business Analyst

Credit Card Fraud Analytics

oTrend Analysis of types of Credit Card Fraud taking place in the US Market

oIdentified/classified fraudulent customer groups by extracting and analyzing data using SAS/ SQL. Created Pivot tables and reports using SAS ODS.

oAnalyzed the historical data of Customers Credit Cards and captured insights on default payments and fraudulent patterns

oPartnered with Risk Information Management Team for defining various policies and procedures

oPartner with Sales Managers and Account Development to ensure established Compliance measures are adhered to while handling fraud accounts

oChargeback Merchants for Fraudulent Transactions and educating Merchants on AMEX Policies

oHelped Minimize Losses for AMEX through Accurate Analysis and Decision Taking.

Education:

Master of Business Administration (Finance), May ‘09 GPA 7.4/10.0

ICFAI Business School, ICFAI University, Dehradun, India

Bachelor of Arts (Mathematics Honors), Jun ’07 GPA: 3.62/4.00

Jesus and Mary College, Delhi University, Delhi, India

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