Leveraged data-driven strategies to develop a risk-scoring model, aimed at identifying potential fraudulent high-risk projects during government grant application approval. Key responsibilities encompassed:- Collaborated with the policy team to understand business requirements, unearth new data sources, and identify risk factors.- Built an ETL process using python, managing 20+ input datasets from multiple data sources. Performed data cleaning, transformation, and calculated SLA and ratio fields, finally generated 5 output reports.- Integrated the new ETL process into existing data pipeline, optimizing data collection and processing workflows.- Provided insightful dashboards using Tableau to analyze grant amount, grantees, claims, and fundings. These dashboards helped to accelerate decision-making processes.- Labeled data using credit scorecard.- Conducted pre-modeling research and developed a proof-of-concept for the risk-scoring model.

As a key developer in the team collaboration with SAIC-GMAC to develop an online system for their process management, data management and customer management using PEGA platform. This system offered efficient business services to over 2000+ dealers. My core responsibilities encompassed:- Designed a robust master data management module for 15+ datasets, incorporating processes for adding, updating, approving, reviewing, and tracking data history. This module enhanced data integrity and reduced the likelihood of data errors by 60%.- Architected a comprehensive dealer query module, which included back-end logic for bulk information import and query, as well as front-end information display.- Produced 10+ reports to monitor key performance metrics about the dealer and cases, ensuring regular notification to users.- Developed the entire process flow for repayment case and loan application case, transforming traditional business processes to online operations. This digital transformation led to a 45% reduction in processing time.- Provided support for system integration testing, user acceptance testing and go-live.- Utilized Confluence for project documentation management and leveraged JIRA for tracking of sprints and bug management