● Developed and tailored a robust real-time hierarchical loan monitoring dashboard to meet the specific needs of 10+ roles across 70+ branches, providing actionable insights for informed decision-making.● Created a comprehensive loan life-cycle analytical report, leveraging data analytics to offer valuable insights into loan statuses at every stage, contributing to a 30% reduction in loan turnaround time.● Designed and implemented an Aadhar-Masking model using OpenCV, achieving an 85% accuracy rate in masking the first 8 digits of 12, ensuring sensitive information remains concealed while preserving data privacy.● Spearheaded seamless integration of multiple third-party APIs (TransUnion Cibil, Allcloud LMS, Crif Highmark and Account Aggregator) with Flask and MongoDB, streamlining data access and processing for enhanced operational efficiency in our production environment.● Managed ETL (Extract, Transform, Load) processes to consolidate data from various sources, ensuring the availability of high-quality data for analysis and reporting.● Engineered a collection management system with incentivized tracking mechanisms, empowering over 350+ active agents to efficiently monitor goals and drive performance improvements across the organization.

-> Built an ETL pipeline that collects data from Food Data Central API, performs Data Analysis, and stores it in the PostgreSQL database.-> Developed an ERP system using FastAPI and designed a role-based database schema in SQLlite for the holiday management of employees.

-> Built Loan Sanction Classifier Model for the company, which will help to identify whether a candidate is fit for loan approval. (increased the accuracy by 66%)-> Developed multiple data-driven real-time automated report provider scripts by fetching the data from MongoDB.