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Data Analyst | SQL | Python | Power BI | Excel | EDA | Credit & Loan Analytics | Business Intelligence

About

I am a Data Analyst with a background in Computer Science and Engineering and hands-on experience in data analysis, SQL, Python, Excel, and Power BI. In my professional experience at ABM Financial Services, I worked with loan application, customer, credit profile, and repayment data to identify trends and insights related to loan defaults, delinquency, and portfolio risk. I used SQL to analyze key business metrics, performed data cleaning and exploratory data analysis, and built interactive Power BI dashboards to support business and risk-management decisions. I also have experience working on end-to-end data analytics projects involving sales data, where I used Python, SQL, Excel, and Power BI to clean data, perform EDA, identify business trends, calculate KPIs, and present actionable insights. My key skills include: • SQL • Python (Pandas, NumPy, Matplotlib, Seaborn) • Power BI • Excel • Data Cleaning & EDA • Statistical Analysis • Customer Segmentation • Credit & Loan Analytics • Data Visualization • KPI & Business Metrics I am currently looking for opportunities where I can apply my analytical and technical skills, solve real-world business problems, and continue growing as a Data Analyst and Business Intelligence professional.

Location

Bengaluru

AI stack

claude code

claude

codex

ChatGPT Images

Microsoft Copilot

OpenAI Playground

Work experience

Data Analyst at ABM Financial Services, Feb 2025 - Jun 2026 · 1 yr 5 mos, Analyzed loan application, customer, credit profile, and repayment data to identify key drivers of loan defaults and delinquency. Used SQL to calculate approval rate, disbursement rate, average loan amount, default rate, and recovery rate. Cleaned and prepared loan data by handling missing values, duplicates, and inconsistent records. Performed EDA to identify patterns in repayment behavior across credit score, income, employment, loan amount, and tenure. Analyzed 30+, 60+, and 90+ Days Past Due (DPD) trends to understand portfolio credit risk. Segmented customers and loans to identify high-risk groups and areas with higher financial exposure. Built an interactive Power BI dashboard to track loan portfolio, repayment, delinquency, and risk KPIs; presented key findings and business recommendations to support better lending and risk-management decisions.

Education

Bachelor of Engineering, Prestige Institute of Engineering Management & Research (PIEMR)

Bachelor of Technology, Computer Engineering, Prestige Institute of Engineering Management & Research (PIEMR)