Data Analyst

Sagar Mallappa Naduvinkeri

Buffalo, NY ********@*******.*** 716-***-**** https://www.linkedin.com/in/sagar-naduvinkeri/ GitHub PROFESSIONAL SUMMARY

Analytical and impact-driven Healthcare Data Analyst with 3+ years of experience transforming complex health data into strategic insights. Skilled in SQL, Python, Tableau, SAS, and Power BI with a strong background in healthcare analytics, program evaluation, and cross-functional collaboration. Proven ability to design scalable dashboards, extract and synthesize insights from large datasets, and inform care delivery and cost containment strategies. WORK EXPERIENCE

University at Buffalo, Project Clinic Data Analyst, Buffalo, NY Jan. 2025 – Jun. 2025

● Conducted complex program analysis using Tableau dashboards for 1,800+ U.S. retail survey responses, enhancing campaign targeting by 25%.

● Built geospatial maps and risk heat maps using Python and Tableau to identify underserved regions, improving outreach ROI by 35%.

● Collaborated with stakeholders to prototype a Figma-based care onboarding solution, cutting client enrollment time by 30%.

● Segmented populations via SQL-based K-means clustering to inform regional healthcare service deployment, boosting outreach efficiency by 20%.

● Researched the FDA’s regulatory framework for AI in healthcare, comparing U.S. and EU standards, assessing real-world risks, and delivering policy recommendations to improve AI governance and patient safety. Syntax Systems Limited Business Analyst, India Oct. 2021 – Aug. 2024

● Extracted, cleaned, and combined data across Oracle and Snowflake using 15+ optimized SQL queries, reducing reporting latency by 40%.

● Developed and maintained Power BI dashboards to track SLA, backlog, and resolution metric-reducing decision time by 160+ hours/month.

● Conducted RCA on recurring healthcare ERP incidents from ServiceNow logs, leading to long-term fixes and 25% fewer incidents.

● Created Python-based automation scripts to monitor patient-service SLAs and backlog, improving operational visibility by 30%.

● Led stakeholder interviews and translated healthcare business requirements into BRDs and user stories, accelerating release cycles by 20%.

Icann Corp Healthcare Analyst Intern, India Jan. 2020 – Apr. 2020

● Pre-processed and normalized 10,000+ clinical records for accurate risk analysis using Python (pandas, NumPy).

● Built predictive models for 30-day hospital readmission risks, supporting proactive care planning and increasing efficiency by 30%.

HEALTHCARE ANALYTICS PROJECTS

LLM-Driven Healthcare Data Assistant (Python RAG HuggingFace) - GitHub

• Built an LLM-powered assistant for querying structured clinical data using RAG pipelines with LLaMA 3.2 and ChromaDB.

• Reduced data retrieval time and improved decision-making speed by delivering real-time, context-rich responses to providers.

Healthcare Risk Stratification Dashboard (Python Streamlit) - GitHub

• Developed an interactive Streamlit dashboard for healthcare risk stratification, enabling care managers to identify high-risk patients and analyze clinical patterns, which improved intervention targeting by 35% and reduced care gaps. CORE COMPETENCIES & TOOLS

Data Analytics & Visualization: SQL, Python (Pandas, NumPy), R, Tableau, Power BI, SAS, Excel Healthcare Knowledge: CPT, DRG, and ICD-10 coding systems, HIPAA compliance, Risk scoring models, Patient utilization metrics, Population Health Metrics, SDOH, Readmission and cost KPIs Data Engineering & Cloud Tools: Oracle 11g/19c, Snowflake, AWS (S3, Athena, Glue), Apache HOP, Streamlit Program Evaluation & Root Cause Analysis: Statistical Inference, Forecasting, RCA, SLA Analytics EDUCATION

University at Buffalo, The State University of New York Master of Science in Business Analytics Jun. 2025

Coursework: Healthcare analytics, Health IT, Data Visualization, Applied AI for Managers, DBMS, Cloud Data Warehousing Visvesvaraya Technological University

Bachelor of Engineering in Computer Science Mar. 2021

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