Nigama Pervala

About Nigama Pervala

I’m a Data Analyst specializing in healthcare, clinical, and public health analytics, with a Master’s degree in Health Informatics. I work with healthcare and population data to uncover patterns, answer meaningful questions, and support real-world decision-making.I’ve worked extensively with EHR/EMR data, multi-decade tract-level Census datasets, and clinical research data, applying SQL, Python, R, and SAS to develop end-to-end analytical pipelines, from data wrangling and feature engineering to statistical modeling and insight generation.Core Areas of Work:• Analyzed 40+ years (1980–2024) of tract-level Census and ACS data to model neighborhood change, aging patterns, migration flows, and socioeconomic trends used in public-sector planning.• Engineered SQL, Python, and R pipelines to extract, clean, de-duplicate, and integrate multi-source clinical and population datasets at scale.• Conducted cohort and longitudinal analyses across diagnosis, lab, medication, and utilization data to assess risk factors and outcome trends.• Built 15+ interactive dashboards and geospatial visualizations (Tableau, Power BI, Datawrapper, ArcGIS) to present complex findings to research and policy stakeholders.• Standardized clinical data using FHIR, HL7, SNOMED CT, and LOINC to enable structured, interoperable analytics across systems.• Automated recurring analytical workflows in SQL, Python, R, and SAS to reduce manual effort and accelerate reporting cycles.I work best in collaborative environments where data isn’t just reported but actually used for real-world impact. I enjoy digging into complex datasets, asking the right questions, and focus on making analysis understandable and useful.I’m currently exploring Data Analyst roles in healthcare and public health analytics where I can apply strong technical skills while continuing to grow and take on more responsibility.

Experience

1. Data Analyst Intern

   The Polis Center

   Feb 2025 — Present · Indianapolis, IN, US

   Supported multiple funded analytics projects by analyzing Central Indiana gentrification and immigrant integration data with R, SQL, and Python, uncovering neighborhood-level change and migration trends that informed city-planning recommendations.Built interactive dashboards and geospatial visualizations in Power BI, Tableau, Flourish, and Datawrapper, enabling stakeholders to quickly identify demographic, employment, and socioeconomic trends for strategic decision-making.Improved R and SQL workflows for tract-level datasets covering 1980–2024, increasing reproducibility and reducing effort required for recurring longitudinal updates.Contributed analytical outputs to the Indianapolis State of Aging Report by integrating Census and NIBRS datasets and creating visualizations on aging, disability, safety, and service access, which helped shape the reportʼs policy recommendations.Collaborated with data scientists, GIS analysts, and public-policy researchers, applying R, SQL, and GIS tools to produce analyses and reports that supported urban-development and population-health initiatives, leading to actionable insights for city officials.

Education

• Government Dental College and Hospital, Hyderabad

  Bachelor's degree, Dentistry

• Indiana University Indianapolis

  Master's degree, Health Informatics