About Me
Data Analyst with 2.5 years of experience in Data Analytics, Business Intelligence, and Banking Credit Risk Analytics. Skilled in SQL, Python, Microsoft Excel, and Power BI for data extraction, data cleaning, data valida…
Data Analyst with 2.5 years of experience in Data Analytics, Business Intelligence, and Banking Credit Risk Analytics. Skilled in SQL, Python, Microsoft Excel, and Power BI for data extraction, data cleaning, data validation, KPI reporting, dashboard development, portfolio analytics, and reporting automation. Experienced in analyzing large-scale customer and transactional datasets, monitoring credit risk metrics, performing portfolio segmentation, and delivering data-driven insights to business stakeholders.
Experience
Data Analyst
<p>Extracted, transformed, and analyzed millions of customer and transactional records using SQL and Python to support credit risk analysis, portfolio monitoring, and business decision-making.<br>
Monitored key portfolio risk indicators including 30+, 60+, and 90+ Days Past Due (DPD), Roll Rates, First Payment Default (FPD), charge-offs, recoveries, payment rates, utilization, and portfolio growth to identify emerging credit risks.<br>
Conducted Vintage Analysis, Roll Rate Analysis, Cohort Analysis, Portfolio Analysis, and Customer Segmentation across customer segments, credit score bands, geographies, and acquisition channels to support credit strategy, collections optimization, and portfolio performance.<br>
Developed and automated recurring portfolio reports using SQL, Python, Excel, and Power BI, replacing manual reporting processes with automated data workflows, KPI reporting, and interactive dashboards; reduced reporting turnaround time by 50%.<br>
Optimized complex SQL queries by restructuring joins, improving filtering logic, and refining query execution processes, resulting in a 35% reduction in report execution time.</p>