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Data-Driven Public Health Analyst

I leverage statistical analysis and data management to drive insights in public health, ensuring quality in large-scale datasets.

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Work samples

I specialize in statistical analysis and data visualization, focusing on impactful public health research and data-driven decision-making.

  • Psychological Risk Factors for Suicidal Thoughts in Older Adults
    Psychological Risk Factors for Suicidal Thoughts in Older Adults

    Analyzed psychosocial predictors of suicidal ideation in 3,377 older adults using the MIDUS 3 national longitudinal dataset, applying multiple logistic regression, correlation analysis, and descriptive statistics in SPSS and R Performed data cleaning, missing value handling, and confounder identification to ensure data accuracy and analytical reproducibility Interpreted statistical outputs and prepared structured data analysis reports and presentation materials summarizing key findings Contributed to a co-authored manuscript under peer review at the Pan American Journal of Public Health (2026)

    MIDUS 3SPSSR
  • Statistical Analysis of Risk Factors for Kidney Failure
    Statistical Analysis of Risk Factors for Kidney Failure

    Analyzed relationships between cardiometabolic risk factors (BMI, blood pressure, cholesterol) and renal function (GFR) in 3,377 adults using the MIDUS 3 dataset Applied ANOVA, multiple regression, and correlation testing in SPSS, ensuring data accuracy and integrity throughout the analytical pipeline Prepared data analysis reports and contributed to academic presentation of findings

    MIDUS 3SPSS

About me

I leverage statistical analysis and data management to drive insights in public health, ensuring quality in large-scale datasets.

As a Public Health Data Analyst and Biostatistician, I hold a Master of Public Health (MPH) and a Bachelor of Dental Surgery (BDS). My work focuses on using R, SPSS, and SAS for statistical analysis, data cleaning, and ensuring quality in large-scale population health datasets like MIDUS 3 (n=3,377). I’m skilled in regression analysis, ANOVA, and both descriptive and inferential statistics. Additionally, I’m ICH-GCP and CITI certified, and I have co-authored a manuscript that is currently under

Externships

TruBridge Healthcare Data Analytics Externship

TruBridge

Experience

Research Assistant

3DA, Disability-Focused Research Nonprofit · 08/2025 – 11/2025 | USA

Dental Intern

Raghu Ram Maxillofacial & Dental Clinic · 02/2024 – 06/2024 | Guntur, India

Dental Intern

Gitam Dental College & Hospital · 12/2022 – 12/2023 | Visakhapatnam,India

Education

Long Island University

Master of Public Health · Class of 2026

Gitam Dental College And Hospital

Bachelor of Dental Surgery · Class of 2023

Skills

RSPSSSASData Cleaning & Quality AssuranceDatabase Management & Data IntegrityRegression AnalysisANOVADescriptive & Inferential StatisticsEpidemiological Research & Study DesignLarge-Scale Dataset ManagementData Visualization & ReportingDashboard Development & AnalyticsAdvanced Microsoft ExcelHIPAA Compliance & Data GovernanceResearch Documentation & ReproducibilitySQLTableauPower BIPython
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Psychological Risk Factors for Suicidal Thoughts in Older Adults

Analyzed psychosocial predictors of suicidal ideation in 3,377 older adults using the MIDUS 3 national longitudinal dataset, applying multiple logistic regression, correlation analysis, and descriptive statistics in SPSS and R Performed data cleaning, missing value handling, and confounder identification to ensure data accuracy and analytical reproducibility Interpreted statistical outputs and prepared structured data analysis reports and presentation materials summarizing key findings Contributed to a co-authored manuscript under peer review at the Pan American Journal of Public Health (2026)

MIDUS 3SPSSR
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Statistical Analysis of Risk Factors for Kidney Failure

Analyzed relationships between cardiometabolic risk factors (BMI, blood pressure, cholesterol) and renal function (GFR) in 3,377 adults using the MIDUS 3 dataset Applied ANOVA, multiple regression, and correlation testing in SPSS, ensuring data accuracy and integrity throughout the analytical pipeline Prepared data analysis reports and contributed to academic presentation of findings

MIDUS 3SPSS
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TruBridge ↗

✅ Verified by Extern · ⏱️ In progress

TruBridge Healthcare Data Analytics Externship

A TruBridge externship exploring healthcare data analytics, statistical modeling, and dashboarding using large public datasets.

Data AnalysisData VisualizationData Storytelling

Overview

The externship centered on analyzing large public healthcare datasets to identify patterns and build analytic artifacts. Work included defining analytic approaches, running statistical and correlational analyses, and producing interactive dashboards and visual summaries. Deliverables documented methods, findings, and data visualizations.

TruBridge Healthcare Data Analytics Externship

What I've accomplished

I selected and validated a paired dataset (NJSHAD county rates and HRSA dental HPSA designations), identified a unit-of-analysis mismatch on HRSA data, and prepared the county-aggregated pairing for downstream analysis.

Project breakdown

I chose NJSHAD county rates for annual adult dental visits and HRSA dental HPSA designations, evaluated dataset fitness, noted one unit-of-analysis mismatch on HRSA (needed county aggregation), and carried the pairing forward as my top candidate.

Open Link

I inspected two NJ county files, left-joined them, cleaned names, handled five zero-designation counties as true zeros, described distributions, and reported a weak negative correlation (r = -0.30) between num_designated and dental_visit_rate.

Open Link

I defended Pearson for two continuous variables, ran the test on 21 counties, and reported r = -0.304 with p = 0.1799, noting the moderate negative association but insufficient significance given the small sample.

I ran the nine-item stress test on my Project 3 result, documented AI feedback, rewrote the interpretation into Pattern, Strength, Limits, Implication, and added two new limits (county poverty confounding and ecological inference limits).

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