VAIBHAV YADAV

Data & Risk Analyst

0+ yrs exp 82 · Excellent

About

Data and Risk Analyst with a Master’s in Economics (Gold Medalist) and a quantitative foundation in Mathematics, Economics, and Statistics. Hands-on experience in risk assessment, exposure and loss analysis, data validation and analytics. Skilled in SQL, Python, Excel, and statistical analysis with project experience in credit risk, Probability of Default, logistic regression. Experienced in translating large and complex datasets into actionable risk insights while maintaining high data accuracy and collaborating with cross-functional stakeholders.

Skills & Expertise (20)

PowerPoint Intermediate

6.5/10

Years Exp

SQL Intermediate

6.5/10

Years Exp

T-SQL Intermediate

6.5/10

Years Exp

Python Intermediate

6.5/10

Years Exp

Pandas Intermediate

6.5/10

Years Exp

NumPy Intermediate

6.5/10

Years Exp

Matplotlib Intermediate

6.5/10

Years Exp

scikit-learn Intermediate

6.5/10

Years Exp

Microsoft SQL Server Intermediate

6.5/10

Years Exp

Advanced Excel Intermediate

6.5/10

Years Exp

Power BI Intermediate

6.5/10

Years Exp

Tableau Intermediate

6.5/10

Years Exp

Attention to Detail Intermediate

5.5/10

Years Exp

Risk Assessment Intermediate

5.5/10

Years Exp

Stakeholder Management Intermediate

5.5/10

Years Exp

Data-driven problem solving Intermediate

5.5/10

Years Exp

Data Validation Intermediate

5.5/10

Years Exp

Exploratory data analysis Intermediate

5.5/10

Years Exp

Statistical Analysis Intermediate

5.5/10

Years Exp

Risk Analysis Intermediate

5.5/10

Years Exp

Work Experience

Underwriting Analyst

Xceedance

Nov 2025 - Present

Analyze and validate submission, exposure, loss, and pricing data across 1,000+ commercial insurance accounts, independently identifying risk factors and flagging exceptions, consistent with underwriting risk-appetite guidelines. Transform and validate large volumes of structured and unstructured data using Excel-based analytical tools, ensuring completeness, consistency, and accuracy before risk-based pricing. Maintained 97%+ data accuracy across risk characteristics, exposure measures, and data analysis while consistently meeting defined turnaround requirements. Collaborate with underwriting and pricing teams to investigate data discrepancies, clarify account information and communicate analytical findings to support accurate risk assessment.