CV

Education

• Emory University — Rollins School of Public Health

  • Master of Science in Public Health – Biostatistics
  • Capstone Project: “Investigating the Effect of Public Transit Accessibility on Diabetic Health Outcomes in Georgia”
    • Awarded by the biostatistics department for outstanding biostatistical research and excellent poster presentation
    • Built and maintained a spatially organized dataset of mobility options and healthcare access in the state of Georgia by programmatically joining a variety of publicly available datasets
    • Explored associations between transportation vulnerability and adverse diabetic health outcomes using ArcGIS mapping, Poisson regression, and Bayesian regression models with spatial random effects

• University of Pittsburgh

  • Bachelor of Science – Bioinformatics
  • Chemistry, History Minors – Conceptual Foundations in Medicine Certificate

Work experience

• Data Management Analyst - Metro Atlanta Rapid Transit Authority (MARTA) - March 2024 - Present

  • Establish enterprise-wide strategic data governance initiatives and workflows across a variety of MARTA’s key business functions and data domains
  • Develop, test, and deploy statistical models and classifiers using machine learning for detecting data issues, alongside root cause analyses of ad-hoc data quality issues toward overseeing improvement in systems integral toward strategic decision-making
  • As a subject matter expert for MARTA’s corporate asset management data system, produce key insights and recommendations for analyses and reporting critical to business decision support

• Data Quality Analyst - Metro Atlanta Rapid Transit Authority (MARTA) - May 2022 - March 2024

  • Implemented unsupervised learning and modern regression approaches in R and Python to assess drivers and key factors behind MARTA’s customer segmentation and ridership forecasting
  • Produced user-friendly dashboards and report interfaces in Power BI and R Shiny to facilitate on-demand insights into KPI trends for internal stakeholders across MARTA, including C-level executives
  • Handled ad-hoc data requests with a 100% on-time delivery rate for a variety of internal and external stakeholders, via flexible utilization of Python, R, and SQL for data packaging, analysis, and visualization

• Data Analyst — Emory University School of Medicine, Sickle Cell Disease Research Group — September 2020 - May 2022

  • Collaborated on research projects related to pain in sickle cell disease through analysis of longitudinal patient data
  • Analyzed how pain intensity progresses in patients with sickle cell disease using time series clustering models in R
  • Applied predictive modeling techniques in assessing the temporal dynamics of pain in sickle cell patients via Markov models
  • Transformed and analyzed large quantitative datasets of ICD diagnosis data and longitudinal pain scores using Python and R to develop phenotypes for chronic pain and pain‑related interference in sickle cell patients
  • Main Supervisor: Dr. Nitya Bakshi, MD, MS

• Systems Programmer — University of Pittsburgh School of Medicine Department of Biomedical Informatics — September 2017 - August 2020

  • Collaborated with the Natural Product Drug Interactions (NaPDI) team to develop features for a data repository. Designed and curated the repository’s backend PostgreSQL database
  • Packaged natural product experiment data for visualization and interface tools in the NaPDI data repository via SQL and Node.js code
  • Collected qualitative data points and user experience feedback to inform development of the NaPDI data repository through interactive interviews with pharmacological professionals
  • Developed a contextual drug‑drug interaction alerting system to enhance clinical decision making in collaboration with pharmacology experts. Constructed algorithms for generating individualized warnings based on ICD diagnosis codes and RxNorm prescription records
  • Operationalized clinical decision making algorithms using Fast Healthcare Interoperability Resources (FHIR) queries by building upon an open source OMOP on FHIR implementation
  • Performed large scale retrospective analyses on encounter-based patient data through transforming, loading, and subsetting an Amazon Redshift database via SQL and R
  • Main Supervisor: Dr. Richard Boyce, PhD

• Research Analyst — University of Pittsburgh School of Medicine Department of Biomedical Informatics — January 2015 - September 2017

  • Analyzed pharmacology research questions using SQL and Python to process and query large datasets of patient records under the Observational Medical Outcomes Partnership (OMOP) Common Data Model Version 5
  • Applied database and scripting skills via loading, refining, and analyzing Medicare patient data toward implementation of an EHR-based nursing home intervention to prevent adverse drug events
  • Implemented Natural Language Processing methods and regular expressions in Python to parse unstructured clinical notes
  • Main Supervisor: Dr. Richard Boyce, PhD

• Research Assistant — University of Pittsburgh Department of Psychiatry — January 2013 - May 2013

  • Analyzed potential effects of hypertension on the brain in collaboration with a multidisciplinary group of colleagues in a psychophysiology lab
  • Presented spatial data visualizations and findings of brain volume comparisons in patients with sleep apnea
  • Main Supervisor: Dr. J. Richard Jennings, PhD

Skills

• Programming: R, Python, Java, SQL, SAS, Stata, JavaScript
• Data Visualization: Shiny, Power BI, Tableau, Rmarkdown, Jupyter, ArcGIS
• Services & Tools: Git, AWS, Oracle Cloud, Databricks, Docker, Node.js

Publications

Potentially Harmful Medication Use and Decline in Health-Related Quality of Life among Community-Dwelling Older Adults

Developing User Personas to Aid in the Design of a User-Centered Natural Product-Drug Interaction Information Resource for Researchers

A New Data Repository for Pharmacokinetic Natural Product-Drug Interactions: from Chemical Characterization to Clinical Studies

Fall Risk-Increasing Drugs, Polypharmacy, and Falls Among Low-Income Community-Dwelling Older Adults

Designing and evaluating contextualized drug–drug interaction algorithms

QTc Prolongation with the Use of Hydroxychloroquine and Concomitant Arrhythmogenic Medications: A Retrospective Study Using Electronic Health Records Data

Multimodal phenotyping and correlates of pain following hematopoietic cell transplant in children with sickle cell disease

High-impact chronic pain in sickle cell disease: insights from the Pain in Sickle Cell Epidemiology Study (PiSCES)

Service and leadership

• August 2020 - May 2022: Rollins Scholar in Action, Emory University Rollins School of Public Health
  • Helped organize an annual book discussion with faculty, Atlanta community members, and fellow students
• October 2018 - August 2020: Student Organization Advisor, University of Pittsburgh
  • Administrative mentor for the “Presentation and Discussion Club” student organization
• February 2017 - June 2018: Volunteer, Homeless Cat Management Team Spay & Neuter Clinic
• January 2016 - May 2016: Undergraduate Teaching Assistant, University of Pittsburgh
  • Foundations of Biology II, Dr. Zuzana Swigonova, PhD.
• August 2014 - February 2017: Inpatient Volunteer, VA Pittsburgh Healthcare System