Nov 2021 – Mar 2023 · 1 yr 4 mos · India · On-site

• Part of Amazon Fraud Prevention Prototype development Team to contribute to the mission of preventing theft, fraud, abuse and waste globally within Amazon. This is an exciting role that combines fraud analytics, Team management, risk analysis, forensic accounting and fraud investigations. Responsible for building analytical and machine learning prototype and products to detect fraud the moment it hits the financial system and support data acquisition, validation. Responsible for detecting and preventing fraudulent payments to vendors globally within Finance Operations and uses signals in transactional data such as invoices and payments to detect theft, fraud, waste or abuse. Responsible for enhancement machine learning capabilities, deployment of fraud detection prototype. Responsible for bringing business insights which help drive business improvements to prevent fraud.

May 2020 – Dec 2021 · 1 yr 7 mos · India

• Part of SAS Healthcare consulting team to provide consulting services, including solution development, implementation and project closeout at customer sites and ensures the highest levels of customer satisfaction. Core member of SAS Image analytics team and developing Image analytical solutions for fraud detection opportunities in area of fraud in government schemes. Worked closely with the clients to deliver the project and ensure client expectations are met.Provide deep knowledge and experience with SAS Solutions including solution configuration, solution functionality and troubleshooting.

May 2019 – Apr 2020 · 11 mos · Gurgoan

• Responsible for applying data science to make real and meaningful impact by working directly with US Clinical Leadership in Nephrology specialty for leveraging RCO Analytics platform data advance analytics capabilities which is focused on leveraging data to improve Quality of Patient Care and Cost, enhance Provider experience and Patient engagement.
• Responsible for analyzing business requirement and translate into technical requirements by interacting with multiple stakeholders.
• Performed necessary model building steps including Univariate, Multi-variate analysis, feature engineering in Python.
• Worked on analytics models using advanced ML algorithms like Nave Bayes, k-means, KNN and other Deep Learning concepts to improve patient care.
• Partnered with clinical research experts to develop the predictive models, analytics team to build the tools and deliver them to clinical and operations staff.
• Developed dashboards and reports Tableau for Management to check operations and financial performance.
• Responsible for communicating the model construct, results and business recommendation on the basis of developed models to business stakeholders.

Nov 2016 – May 2019 · 2 yrs 6 mos · Noida Area, India

• Responsible for Development of different statistical models using Python, SAS EG, SAS E Miner for finding aberrant billing patterns, uncover suspected cases of fraudulent or abusive billing practices in US Healthcare.
• Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling that were used in Fraud detection.
• Understand and enhance the existing trigger programs for performance improvement and Overpayment detection.
• Multiple analytical and machine learning prototype and products to detect fraud the moment it hits the financial system and support data acquisition, validation.
• Various Insurance Analytics Projects on Healthcare claims and different POC during client acquiring Phase (Ayushman Bharat (PMJAY), HDFC Ergo).
• Prepared and presented work products, results and business recommendation on the basis of developed models to business stakeholders

Dec 2013 – Nov 2016 · 2 yrs 11 mos · Noida Area, India

• Worked on Data-Driven Rule creation for fraud detection in US Healthcare Claims. Utilize analytical applications like SAS, SQL to identify trends and relationships between different pieces of data and draw appropriate conclusions and translate analytical findings to maximize claim payment accuracy, overpayment recovery, and education of our provider community.

Oct 2012 – Dec 2013 · 1 yr 2 mos · Noida Area, India

Sep 2011 – Jun 2012 · 9 mos · Noida Area, India

Mar 2010 – Sep 2011 · 1 yr 6 mos · Noida Area, India