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Pragyan prakash

@pragyanprakash1

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Data scientist at ICICI Bank LTD who improved scorecard GINI by 10% and automated UAT testing.

India

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At ICICI Bank LTD, I developed a Python-based automated UAT framework for scorecard models, cutting manual testing time by 60%. I also designed a credit lending data-mart integrating 10+ sources and refined underwriting models based on validation findings.

At IQVIA, I built a BeautifulSoup web crawler for Poland's healthcare market and developed a linear regression model that improved patient enrollment predictions by 15%. Earlier, at Affine Analytics, I developed a price elasticity model that improved pricing accuracy by 5–10%.

Experience

Work history, roles, and key accomplishments

Current

Manager2

Current

ICICI Bank LTD

Apr 2022 - Present (4 years 6 months)

Automated UAT testing for scorecard models, cutting manual testing time by 60%. Designed a centralized credit lending data-mart, integrating 10+ sources to cut data retrieval time by 50%.

Python UAT SQL Data Marts Model Validation Gini PSI CSI Vintage Analysis Delinquency Analysis

Analyst

IQVIA

Sep 2017 - Oct 2018 (1 year 1 month)

Built a BeautifulSoup web crawler to extract Poland's healthcare market data, automating analysis with Excel dashboards and cutting manual effort by 70%. Developed a linear regression model improving patient enrollment predictions in clinical trials by 15%.

Web Scraping BeautifulSoup Excel Linear Regression SQL Data Visualization

BusinessAnalyst

Affine Analytics

Jul 2016 - Jul 2017 (1 year)

Developed a price elasticity model to generate data-driven pricing recommendations, leading to a 5–10% improvement in pricing accuracy. Conducted cluster analysis on Sears store and item-level data, increasing targeted campaign effectiveness by 15%.

Price Optimization Customer Segmentation Cluster Analysis Data Analysis