I am an entry-level Financial Risk Analyst with a strong data analytics foundation, trained specifically in credit risk assessment, delinquency analysis, and financial risk reporting, with certifications from Deloitte, T…
I am an entry-level Financial Risk Analyst with a strong data analytics foundation, trained specifically in credit risk assessment, delinquency analysis, and financial risk reporting, with certifications from Deloitte, Tata iQ, and TCS.
My experience includes hands-on work across BFSI-focused datasets, where I applied:
Credit risk analysis and customer delinquency segmentation
Exploratory data analysis (EDA) to identify probability-of-default indicators
Rule-based and no-code credit risk modeling frameworks
Risk classification, exposure analysis, and loss-prevention logic
Regulatory-aware analytics aligned with ethical AI and compliance principles
From a technical standpoint, I work with SQL for data extraction, Python for analysis, Microsoft Excel for financial modeling, and Power BI for risk dashboards and executive reporting. I am comfortable translating raw financial data into actionable risk insights for credit, collections, and advisory teams.
Entry-level Financial Risk Analyst, Credit Risk Analyst, Risk Advisory, and BFSI Data Analyst roles, where analytical rigor and business-aligned risk insights are critical.I am an entry-level Financial Risk Analyst with a strong data analytics foundation, trained specifically in credit risk assessment, delinquency analysis, and financial risk reporting, with certifications from Deloitte, Tata iQ, and TCS. My experience includes hands-on work across BFSI-focused datasets, where I applied: Credit risk analysis and customer delinquency segmentation Exploratory data analysis (EDA) to identify probability-of-default indicators Rule-based and no-code credit risk modeling frameworks Risk classification, exposure analysis, and loss-prevention logic Regulatory-aware analytics aligned with ethical AI and compliance principles From a technical standpoint, I work with SQL for data extraction, Python for analysis, Microsoft Excel for financial modeling, and Power BI for risk dashboards and executive reporting.
Conducted EDA using GenAI tools to identify financial risk indicators
Designed no-code predictive modeling framework for delinquency risk
Built AI-driven collections strategy with compliance and ethical AI focus
Conducted EDA using GenAI tools to identify financial risk indicators, Designed no-code predictive modeling framework for delinquency risk, Built AI-driven collections strategy with compliance and ethical AI focus
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