Aspiring Data Analyst with hands-on internship experience in Banking Credit Risk, Credit Card Performance, and Loss Analysis. Skilled in Excel, SQL, Python, and Power BI, with strong experience in data cleaning, analysis…
Aspiring Data Analyst with hands-on internship experience in Banking Credit Risk, Credit Card Performance, and Loss Analysis. Skilled in Excel, SQL, Python, and Power BI, with strong experience in data cleaning, analysis, reporting, and dashboard creation. Experienced in transforming raw data into actionable insights to support risk monitoring, collections strategy, and data-driven decision-making.
Conducted market and competitor analysis to support business initiatives and ISO certification requirements.
Collected, cleaned, and merged data from multiple sources using MySQL to create analysis-ready datasets.
Performed data analysis using SQL and Python to identify trends, benchmarks, and insights.
Developed Power BI dashboards to visualize market metrics and competitor positioning.
Used web scraping techniques to extract external data for market and competitor research.
Conducted market and competitor analysis to support business initiatives and ISO certification requirements., Collected, cleaned, and merged data from multiple sources using MySQL to create analysis-ready datasets., Performed data analysis using SQL and Python to identify trends, benchmarks, and insights., Developed Power BI dashboards to visualize market metrics and competitor positioning., Used web scraping techniques to extract external data for market and competitor research.
Supported the credit risk function with a focus on credit card performance, delinquency, and loss analysis.
Collected, organized, and prepared credit card account and collections data using SQL, Excel, and Python.
Identified early delinquency trends to support collections and recovery strategies.
Prepared Excel-based MIS reports and visual summaries for management review.
Tracked effectiveness of strategies by monitoring cured and improved delinquent accounts.
Analyzed customer usage behavior and identified high-risk customer segments.
Created summary dashboards in Excel to visualize KPIs related to card performance and delinquency rates.
Supported the credit risk function with a focus on credit card performance, delinquency, and loss analysis., Collected, organized, and prepared credit card account and collections data using SQL, Excel, and Python., Identified early delinquency trends to support collections and recovery strategies., Prepared Excel-based MIS reports and visual summaries for management review., Tracked effectiveness of strategies by monitoring cured and improved delinquent accounts., Analyzed customer usage behavior and identified high-risk customer segments., Created summary dashboards in Excel to visualize KPIs related to card performance and delinquency rates.
Supported the credit risk function with a focus on credit card performance, delinquency, and loss analysis. • Collected, organized, and prepared credit card account and collections data using SQL, Excel, and Python. • Identified early delinquency trends to support collections and recovery strategies. • Prepared Excel-based MIS reports and visual summaries for management review. • Tracked effectiveness of strategies by monitoring cured and improved delinquent accounts. • Analyzed customer usage behavior and identified high-risk customer segments. • Created summary dashboards in Excel to visualize KPIs related to card performance and delinquency rates
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