Shiva Skandhan Addagudi
Data Analyst @State Street
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WORK HISTORY
Data Analyst @State Street
US
Engineered a centralized analytics ecosystem integrating multi-asset holdings, transaction records, and market benchmarks through SQL and Bloomberg data feeds, enabling a holistic portfolio view and enhancing risk visibility across all investment products by over 40%, strengthening financial decision accuracy. • Designed and operationalized statistical risk models in Python to quantify volatility, beta exposure, and value-at-risk, synthesizing these outputs into dynamic Power BI dashboards that empowered senior portfolio managers to proactively rebalance positions and improve portfolio resilience by 35%. • Automated portfolio stress-testing simulations using Excel VBA and Refinitiv pricing data to evaluate the impact of rate hikes and credit spread widening, reducing manual reconciliation effort by 50% while enhancing the precision of downside-risk forecasting for fixed-income strategies. • Collaborated with cross-functional risk and compliance teams to define credit-rating KPIs, applying advanced SQL windowing and data governance checks that minimized pricing anomalies by 90%, ensuring data integrity across all financial modeling workflows and audit-ready risk reports. • Synthesized actionable investment insights by correlating duration metrics, sector allocation, and return attribution through Python and Power BI visualizations, which drove strategic portfolio adjustments that enhanced risk-adjusted returns by 25% and optimized benchmark tracking efficiency for institutional clients.
EDUCATION
KL University
Electronics and Communications Engineering
Seattle University
Master's degree
ABOUT SHIVA SKANDHAN ADDAGUDI
Experienced Data Analyst delivering data driven, compliance focused insights across financial services and technology domains. I specialize in transforming complex financial data into clear, actionable intelligence that strengthens strategic decision making, enhances risk visibility, and optimizes performance.Proficient in SQL, Python, Power BI, Tableau, and Snowflake, I design scalable analytics solutions, automate reporting workflows, and build predictive models to improve accuracy and efficiency. My work spans portfolio and credit risk analytics, forecasting, KPI reporting, and data governance, leveraging cloud platforms like AWS and Azure to support enterprise-scale analytics.I collaborate cross functionally with finance, compliance, and business teams to align data strategy with business objectives whether it’s building automated dashboards, improving forecasting models, or streamlining regulatory reporting. My approach focuses on clarity, collaboration, and measurable business impact.Core Skills: Data Analysis | Financial Analytics | Risk Modeling | Predictive Analytics | SQL | Python | Power BI | Tableau | Snowflake | ETL | Data Warehousing | Cloud Analytics (AWS, Azure)| Data Governance | Reporting Automation | KPI Design | Agile & Scrum | Cross Functional Collaboration
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