Data-Driven Decision Scientist and Dashboard Architect

SAI SRIKAR PUPPALA

Raleigh, NC 737-***-**** *********.*******@*****.*** LinkedIn GitHub

Experience

CRC Research Group, NC State University Data Analyst May 2024 - Present

• Reduced policy scenario analysis from 6 hours to 5 minutes (72x improvement) by building interactive R Shiny dashboards for CDC/UNC Health teams; translated business requirements into predictive ML solutions analyzing 5,000+ simulations guiding colorectal cancer screening policy for 30+ policymakers

• Built regression metamodels (Random Forest, SVR, Lasso, Ridge) achieving R > 0.95 on population health data; implemented Latin Hypercube sampling strategy ensuring data quality and model scalability across intervention scenarios

• Defined policy impact metrics and KPIs through stakeholder collaboration; delivered findings to inform evidence-based decision-making on screening interventions

The Data Bull Data Analyst Jul 2025 - Present

• Reduced nonprofit monthly financial close from 5 days to same-day and cut manual errors by 60% through automated reconciliation pipelines using Power Query, DAX, and MySQL; integrated diverse financial data sources (ledgers, grants, MySQL) enabling real-time fund tracking for 100+ stakeholders

• Built production Power BI dashboards for 2 nonprofit clients defining 15+ strategic KPIs with interactive visualizations; partnered with leadership to translate business requirements into data models supporting compliance reporting and evidence-based decision-making

• Designed database schema and data models for nonprofit financial tracking; implemented data quality checks reducing discrepancies in grant reconciliation by 85%

Fractal Analytics Data Analyst II Aug 2021 - Jul 2023

• Architected enterprise Digital Balance Sheet dashboard for Fortune 50 client (Mars, $40B+) serving 500+ users across 25+ countries; led 3-analyst team through stakeholder collaboration translating executive requirements into Power BI specifications while maintaining 95% client satisfaction

• Built Azure cloud data pipelines (Data Lake, Databricks, SQL Server) processing 50GB+ monthly from SAP, Oracle, ERP sources; orchestrated ETL workflows using PySpark and Azure Data Factory ensuring GDPR compliance and data quality

• Optimized 6+ Power BI dashboards achieving 23% performance improvement, 40% error reduction, and sub-3-second loads on 100M+ rows through DAX refactoring; automated reporting reducing manual effort by 120 hours monthly

• Established data quality framework with automated validation checks across SAP/Oracle sources; reduced data discrepancies by 35% improving financial reporting accuracy

Technical Skills

BI & Visualization: Power BI (DAX, M Code, Power Query), Tableau, Excel, Data Storytelling Programming: Python (pandas, scikit-learn, PySpark), SQL (T-SQL, PostgreSQL, MySQL), R (Shiny, tidyverse) Cloud & Data: Azure Cloud (Data Lake, SQL Database, Data Factory, Databricks), Snowflake, Database Design, Data Modeling Data Engineering: ETL Pipeline Development, Data Mining, Data Transformation, Data Quality Validation Machine Learning: Random Forest, XGBoost, SVR, Regression, Time Series, Anomaly Detection, Statistical Analysis Key Projects

Health Equity Research for Underserved Communities Statistics Without Borders

• Led pro-bono health equity research analyzing 2,000+ UK survey respondents across 20+ variables using chi-square tests and cross-tabulation; identified critical disparities in South Asian girls’ experiences and built interactive R heatmaps that informed policy recommendations for public health stakeholders AI-Powered Compliance Validation Platform VERA GitHub

• Reduced materials testing compliance review from 2 weeks to 5 minutes (99% reduction) with AI-powered web application processing 1,000+ test reports at 95% accuracy; built production tool using hybrid RAG architecture (FAISS, LangChain, Streamlit) validating against 50+ ISO/ASTM standards with Docker deployment and explainable pass/fail decisions Supply Chain Intelligence & Risk Analytics Volvo Group

• Identified $1M+ in supply chain irregularities and reduced risk by 25% for Volvo operations through Isolation Forest anomaly detection on 347K+ shipment records; delivered bi-weekly executive presentations translating findings into process improvements across 8 distribution centers

Education

North Carolina State University Aug 2023 - May 2025 Master of Operations Research GPA: 3.8/4.0 Raleigh, NC National Institute of Technology Warangal Jul 2017 - May 2021 Bachelor of Technology, Materials Science GPA: 3.5/4.0 Warangal, India Honors

NC State Graduate Merit Award (2025) NC Plant Sciences Hackathon Winner (2024) Fractal’s Best Team Award (2022)

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