Domain Analyst Projects & Case Studies
SELECTED
WORK.
A selection of projects where I applied analytical thinking, data, and strategy to solve real business problems and deliver measurable results.
SELECTED
WORK.
A selection of projects where I applied analytical thinking, data, and strategy to solve real business problems and deliver measurable results.
Tele Smart / Dialer System (HDFC Digital Banking)
End-to-end customer calling tracking dashboard for database segmentation, TSE productivity, call disposition, and penetration.
Provided Pan-India application support, created standard features for AD-HOC reporting, and conducted regular TSE performance analysis.
UNO - Ultimate Non-Banking Operations (Shriram Value Services)
Core operations suite managing key modules including Loan Origination, Insurance, Vehicle Loans, and Jewel Loans.
Tested multiple modules, troubleshot issues, and optimized application suites for Non-Banking Financial Institutions (NBFCs).
IT/ITES Business Analysis & Process Optimization (Novac Tech)
Engaged in business analysis sessions for Shriram Finance Ltd (NBFC), mapping requirements to framework standards, designing performance dashboards, and deploying execution strategies.
Pan India FinTech Application Support (Shriram Finance Ltd)
Enterprise FinTech application support and domain analysis across Shriram Finance Ltd operations.
Managing system troubleshooting, business requirement mapping, stakeholder collaboration, and ensuring data submission integrity across Pan-India platforms.
Tele Smart Calling & Insight Dashboard
Problem
Lack of real-time visibility into TSE caller productivity, database segmentation, and call disposition across Pan-India operations.
Analysis
Analyzed database segmentation, TSE call workflows, and reporting needs across channel managers.
Solution
Built Tele Smart dashboard, instituted frequent bridge calls to ensure data integrity, and designed standard ad-hoc reporting capabilities.
Impact
Streamlined Pan-India application support, improved call penetration tracking, and enabled timely data-driven decisions.