

Results-driven Data Analyst with 5+ years of experience in data analytics, business intelligence, and insurance operations across 13 major General Insurance stakeholders. Proficient in Python, SQL, Advanced Excel, and Power BI — covering endto-end analytics from EDA and MIS automation to interactive dashboards. Certified in Data Science from IIT Madras (GUVI). Seeking a Data Analyst / Data Engineer / Operations role.
Programming Language
Insurance stakeholders
WORK EXPERIENCE:
A. Insurance Operations & Underwriting
• Underwrote motor and non-motor policies and processed endorsements for 13 insurers, ensuring regulatory
compliance across the full policy lifecycle.
• Verified customer documents for policy issuance, renewal, and endorsements per each insurer's underwriting
guidelines and compliance standards.
• Coordinated daily with insurers and clients on renewals, document clearance, and payment follow-ups to ensure
smooth policy management.
• Trained and mentored junior team members on quotation preparation, VIR procedures, documentation checklists,
and payment collection processes.
B. Data Analytics & Reporting
• Performed end-to-end EDA on 100K+ policy records using Python (Pandas, NumPy, Matplotlib) and Advanced Excel to
segment portfolios, detect anomalies, and surface actionable insights.
• Built and maintained Power BI dashboards tracking KPIs — sales performance, claims ratio, premium collection, and
renewal retention — adopted by senior management for strategic review.
• Automated MIS reporting using Python and Power Query, improving reporting efficiency by 30% and saving 20+
hours/week of manual effort.
• Validated and reconciled large-scale insurance datasets using SQL, achieving zero data discrepancy incidents across
100K+ policy records.
• Developed penetration and retention analysis reports tracking new business acquisition vs. renewal success rates;
shared insights with management for strategic planning.
Data Analysis: Data Cleaning, EDA, KPI Analysis, Trend Analysis
Tools: Excel, Power BI, SQL, Python,VS code, Selenium
Python Libraries: Pandas, NumPy, Matplotlib, Seaborn
Machine Learning (Foundational): Linear Regression, Logistic Regression, Classification & Regression Models, Model Evaluation
Databases: MySQL / SQL Server
Visualization: Power BI Dashboards, Charts, Reports
Domain Knowledge: Insurance Analytics
• Managed analytics for 13 major General Insurance stakeholders — driving measurable improvements in penetration and renewal retention.
• Delivered 30% efficiency gains via Python and Excel automation; eliminated 20+ hours/week of manual reporting effort across the operations team.
• Built Power BI dashboards adopted by senior leadership for real-time KPI tracking and operational planning.
• Validated 100K+ insurance policy records with zero data discrepancy incidents reported.
• Trained junior team members on ITS workflows, quotation preparation, VIR procedures, and documentation standards — improving overall team efficiency.
Python, SQL, Excel, Power BI, ML
I have strong experience in Python and SQL for data analysis and data extraction
I use Power BI and Excel for data visualization, dashboard creation, and reporting
I work with Python libraries like Pandas, NumPy, and Matplotlib for data cleaning and EDA
I use tools like Jupyter Notebook, VS Code, and Streamlit for development and project deployment
I have basic exposure to AWS EC2 for deploying applications