Arushi Aggarwal
Data Scientist Sr Associate @JPMorganChase
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WORK HISTORY
Data Scientist Sr Associate @JPMorganChase
Wilmington, DE, US
Data Analytics in Chase 360 CCB Risk- Mixed large amounts of complex data to develop and integrate DDA income (Direct Deposit Accounts) in existing income business rules, which had direct impact on credit limit determination of the customers. These changes impacted 8.6M customers with comparable Median Incomes- Handled the shortcomings in checking the employer\'s name matching process, reintroducing 95K new customers to the income process thereby increasing digital income utilization- Automated home lending under-writing process that matches the employer names on the loan applications with that of the digital income stream with the match rate of 83% for 6.3M loans- Worked with Card team stakeholders in gathering and understanding their requirements and current challenges and determined different data sources associated with customers credit information- Worked through multiple scenarios and data sets using Python, PySpark and SQL functions to develop updated business rules and deploying them to production.
EDUCATION
The University of Texas at Austin
Post Graduate Program, Data Science and Business Analytics
Indian Institute of Technology, Guwahati
Master's degree, Mathematics and Computer Science
Delhi University
BSc. (H) Computer Science, Mathematics and Computer Science
ABOUT ARUSHI AGGARWAL
Over a decade of work experience in strategizing, analyzing, and executing data driven solutions to increase data efficiency in JP Morgan Chase, American Express and US CitiBank. Proficiency in mathematics, statistics, and analytics coupled with a strong understanding of business operations and analytical tools for effective analysis of data.Key highlights- Strategically combined multiple income data sources to make an impact on customers Chase 360 Income- Defined business strategy for customer income for Home Lending and Mortgage domain impacting 8M customers- Performed Data analytics and generated Insights from various data sources and databases for Credit Card division in the Banking domain- Equipped data insights and supported in creating and defining business strategy for 25+ Account Management teams and 240+ Clients which led to $450+ millions of business expansion of Amex Credit card division- Automated several business processes which were being performed manually to save manual hours using Microsoft Azure MLS, Python and SQL. Automated report generation process for different areas using complex coding strategies like Fuzzy string matching- Equipped Data insights to Citibank US in mitigating Fraud loss for Customer Account closures and coordinated with stakeholders for presentations and building strategies.
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