Data Analyst Life Insurance

HARTFORD, CT, USA, HARTFORD, USA, ***** •

**************@*****.*** • +1-508-***-****

SAI KRISHNA SURAPARAJU

Business Data Analyst - Life Insurance

PROFESSIONAL SUMMARY

Senior Data Analyst with 11 years of experience in US Life Insurance operations and data analytics. Specialized in claims processing analytics, retirement services, and compliance risk analysis. Skilled at leveraging Python, SQL, Power BI, and Tableau to automate workflows, improve SLA adherence, and deliver actionable insights. Proven ability to transform operational workflows using data-driven decision-making and process optimization strategies. EMPLOYMENT HISTORY

ASSOCIATE OPERATIONS DATA Mar 2023 - Jan 2024

MassMutual India

• Analyzed operational and claims datasets for Income Settlements, Maturities, and Contract Changes to identify trends, forecast workloads, and improve processing accuracy.

• Designed and maintained Power BI dashboards for daily productivity, SLA adherence, and claims turnaround monitoring.

• Conducted data validation and reconciliation for Direct Deposits, Death Claims, Ownership changes, Beneficiary updates, Address & Name changes to ensure 100% accuracy.

• Performed statistical analysis on Tax withholdings, Spousal changes, Deferments, and Policy Surrenders to detect anomalies.

• Applied advanced Excel and SQL queries to track premium payments and verify fund transfer accuracy across policy types.

• Created weekly/monthly analytical decks highlighting trends, volumes, and quality KPIs for senior leadership.

• Led SOP/documentation updates based on data-driven audits, ensuring compliance and process consistency.

• Conducted root cause analysis on escalations and rush cases, implementing corrective actions backed by quantitative findings.

PROCESS DATA SPECIALIST Oct 2021 - Mar 2023

Infosys BPM LTD

• Managed and analyzed claims data for Retirement Services operations including Loan payments, Cash items, Rollovers, Slash E’s, Money-In operations, and Withdrawals.

• Developed Python-based automation scripts to streamline data extraction, transformation, and reporting workflows, cutting manual reporting time by 30%.

• Built fraud detection scoring models to improve claims accuracy and reduce disputes using historical claims and transaction data.

• Designed interactive Power BI dashboards for claims monitoring, SLA tracking, and performance reporting.

• Applied predictive analytics to identify at-risk claims and recommend preventive actions.

• Partnered with compliance and operations teams to improve data quality and ensure integrity in financial transactions. SENIOR CLAIMS ANALYST Dec 2012 - Oct 2021

Cognizant Technology Solutions

• Conducted data-driven claims adjudication and litigation analysis for US Life Insurance policies in compliance with regulations.

• Applied analytics to Retirement Services operations—Loan payments, Rollovers, Money-In transactions, and Withdrawals

—to detect inefficiencies and recommend process improvements.

• Led Compliance & KYC data checks by integrating AML risk scoring models and due diligence analytics into workflows.

• Performed historical trend analysis on claim volumes, accuracy rates, and policy risk factors.

• Developed SQL queries and Excel-based reports to identify claim error patterns and detect potential fraud.

• Presented findings and risk assessments to business/legal teams for decision-making.

• Mentored associates on data visualization, reporting tools, and compliance analytics to increase team analytical capability. EDUCATION

MASTER’S IN BUSINESS ANALYTICS Jan 2024 - May 2025 University of Hartford Hartford, CT

MBA IN FINANCE 2009 - 2011

Osmania University Hyderabad, India

BACHELOR OF COMMERCE (COMPUTERS) 2005 - 2009

Osmania University Hyderabad, India

SKILLS

Python, SQL, Power BI, Tableau, US Life Insurance, Claims Processing, Retirement Services, Compliance & KYC, BI Dashboards, Process Automation, Fraud Detection, Risk Assessment, Data Visualization, Process Optimization, Team Mentorship.

PROJECTS

CAPSTONE – BACKORDER PREDICTION ANALYSIS

Led an advanced analytics project to address inventory shortages by predicting backorder risk using Random Forest and XGBoost models. Processed and analyzed a dataset of over 200,000 records with 25 features, performing data cleaning, missing value imputation, and feature engineering to address a 10% class imbalance. Conducted EDA to identify strong predictors such as low inventory, extended lead times, and SKU risk flags. Achieved high recall and balanced precision, enabling proactive supply chain interventions. Delivered actionable business recommendations for real-time SKU-level monitoring and improved procurement planning, reducing potential stockouts. RISK ASSESSMENT IN CRYPTOCURRENCY

Designed and implemented compliance scoring models to evaluate operational, financial, and cybersecurity risks for a blockchain-based currency platform. Performed in-depth threat modeling to assess vulnerabilities related to market volatility, cyberattacks, and regulatory uncertainty. Leveraged statistical analysis and risk frameworks to quantify exposure levels and prioritize mitigation strategies. Presented findings to stakeholders with clear recommendations for improving security protocols, regulatory compliance, and market adoption strategies. INFOSYS STOCK FORECASTING PROJECT

Developed and validated time-series forecasting models (Holt-Winters, Decomposition, Multiple Regression) using historical stock price data for Infosys Limited. Conducted trend, seasonality, and volatility analysis to identify key drivers affecting stock performance. Visualized predictions using Power BI dashboards for C-level executives, enabling informed investment decisions. Compared model performance using RMSE, MAPE, and R to select the best-fit forecasting approach. POLICY-LEVEL CLAIMS & RISK ANALYSIS

Created SQL-based analytics workflows to identify high-risk life insurance policies and detect inconsistencies in claim submissions. Performed root cause analysis on policy exceptions, identifying recurring error patterns and potential fraud indicators. Collaborated with compliance teams to adjust policy guidelines based on data insights, reducing claim error rates and rework. Delivered periodic risk reports to management, highlighting vulnerable policy segments and recommending operational changes.

RISK MANAGEMENT PROJECT – FACEBOOK DIEM

Conducted enterprise risk assessment for Facebook’s Diem cryptocurrency initiative, evaluating regulatory, cybersecurity, reputational, and financial threats. Applied Likelihood-Impact risk scoring to quantify exposure, developed a Risk Map, and prioritized mitigation actions. Recommended compliance adjustments to align with global AML/KYC regulations and reduce geopolitical risks. Proposed technical security enhancements to address vulnerabilities in blockchain transaction validation.

BUSINESS FORECASTING PROJECT

Analyzed historical business and stock market data to identify seasonal trends, cycles, and growth patterns. Built and tested Multiple Regression, Holt-Winters, and Decomposition models for short- and medium-term forecasting. Measured model performance with RMSE, MAPE, and R, selecting the most accurate approach for final deployment. Created interactive Power BI dashboards for visualizing forecasts, enabling management to anticipate market changes and plan accordingly.

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