Arunasri Nishtala

Arunasri Nishtala

QA Lead & Product Analyst

Poolesville, MD
240-665-1390
arunasri.nishtala@proton.me

8+ Years Experience

Project, Business & Quality Analysis

Federal Contracts & Healthcare

Data Science & Research Expertise

Professional Profile

  • 8+ years in Project, Business and Quality Analysis and Management
  • 6+ years in Federal Contracts (FDA, CMS, Department of Education)
  • 3+ years in Healthcare Startups for patient health integration with Providers and Payers
  • Researcher in health management service to studying lifestyle disparities
  • Data scientist for nonlinear dynamic studies and real world models
  • As a data Scientist use Python for data analysis, publications, Drug label parsing
  • Extensive experience with EMR/EHR data transaction, data integration
  • FHIR and HL7 Standards learnt and used for Patient data and drug data
  • Lead Scrum ceremonies for teams with Agile methodologies
  • Proficient at JIRA, Confluence for Epic creations, Flowcharted Story points, features along with bug tracking placeholders
  • Use Set theory and other game theory mechanisms for best UI/UX sequence diagrams targeting end user ease of use
  • Trained and always complying to HIPAA regulations
  • Years of Teaching experience in Physics and Mathematics

Professional Summary

  • Proactive with Stakeholders, Product, and Developers team for complete SDLC workflow, focused on PII/PHI security, product integrity, and end user experience.
  • Coded complete SPL XML data parsing for all drug labels (145k files including Prescription, OTC, Animal) to map indications with active ingredients (FDA UNIIs) for cure, adverse events, market activity studies, and to enable research on age, gender, race, and multiple medication intake disparities.
  • Handled EMR/EHR patient data transactions for both providers and insurance companies using CPT codes and SNOMED terminology, following FHIR standards and PII/PHI regulations.
  • Reported roadblocks and risks to the client with a risk mitigation solution that saved a million dollars for my company.
  • Created innovative business models across divergent systems for a 'one shoe fits all' approach, covering complete medical and technological functionalities and patient/provider communication, allowing clients to dynamically choose their content.
  • Worked with GSRS (FDA) for substance registration and mapping substances to products for regulatory monitoring. Led global data integration for Application and Product modules.
  • Google review rating improved multifold for our app under my leadership.

Employment History

Drug Data Wrangler & Analyst at Chickasaw Nation Industries

Rockville, MD | March 2023 — Present

Global Substance Registration System (FDA/NIH) - FDA/NIH project focused on registering substances used in regulated products. Basic substances are classified into chemicals, proteins, nucleic acids, and structurally diverse categories used in medicinal and other products. The platform features advanced chemical drawing tools and search engines that identify structures, names, codes, and formulas recognized worldwide.

  • Parsed complete DailyMed XML datasets for all medications to study drug-drug interactions, monitor drug market activity status, and manage drug label versioning.
  • Provided complete public drug data sets for Pharmaceutical Product Identification (PhPID) derivation for WHO-UMC.
  • Mapped GSRS (Global Substance Registration System) substances to active ingredients for applications, products, and adverse event studies, sourcing data from Health Canada, EMA, and FDA Ghana.
  • Led initiatives to track conditions and indications supplied by drug labels and correlate them with adverse events data in FAERS (FDA Adverse Event Reporting System).
  • Tested end-to-end functionality, identified system gaps, and collaborated with the development team on feature improvements for new modules.

QA Lead/Product Analyst at Babyscripts

Washington, DC | October 2021 — January 2023

Babyscripts is a startup company that develops a pregnancy monitoring app. Its unique platform connects health providers and insurance companies with patients. These patients may suffer from Preeclampsia and Postpartum hypertension. Through the Babyscripts app, doctors can monitor patients' blood pressure, mental health condition, and provide immediate patient care.

Business Analyst/Quality Assurance at Chickasaw Nation Industries

Norman, OK | August 2018 — December 2021

QASP (CMS ECHIMP Project) and Global Substance Registration System (FDA/NIH)

Project Manager at TTAP- Trizetto Touchless Authorization Processing

Teaneck, NJ | March 2018 — September 2018

Startup platform designed to bridge medical insurance companies and care providers by facilitating the approval status process for patients considering medical procedures, helping to reduce wait times and patient anxiety.

Tester at ICF: FAFSA Application (Federal Student Aid)

Rockville, MD | August 2015 — March 2018

High-traffic platform providing information and registration services for applicants seeking financial assistance, supporting millions of daily users.

Research Assistant at Drexel University

Philadelphia, PA | August 2002 — Present

Research focused on studying invariant features in three-dimensional nonlinear differential equations, including the genus of strange attractors, vector flows, and linking numbers of different periodic orbits.

Skills & Expertise

Technical Skills

Python
Data Analysis
XML Parsing
FHIR Standards
HL7 Standards
EMR/EHR Integration
Statistical Analysis
R Programming

Project Management

Agile Methodologies
Scrum
JIRA
Confluence
Requirements Gathering
Risk Management
Stakeholder Management

Quality Assurance

Test Strategy
Test Planning
Functional Testing
Regression Testing
UAT
SDET Architecture
End-to-End Testing

Domain Expertise

Healthcare
Federal Contracts
FDA Regulations
HIPAA Compliance
Drug Data
Patient Data Integration
Nonlinear Dynamics

Education & Research

MSc Physics

IIT Bombay, Mumbai, India

    August 2002 — March 2007

    Research Assistant

    Drexel University, Philadelphia, PA

    Research focused on studying invariant features in three-dimensional nonlinear differential equations, including the genus of strange attractors, vector flows, and linking numbers of different periodic orbits.

    • The goal was to determine whether these invariants could serve as signature characteristics to identify types of nonlinearity present in real-time data sets.
    • Applications of this research include designing stable lab apparatus, predicting seizures in epilepsy patients, and forecasting trends in financial markets.

    Publication:

    Embedding of a Strange Attractor into R³ — Tsvetelin D. Tsankov, Arunasri Nishtala, and Robert Gilmore, Physical Review E, 69, 056215 (2004).

    August 2002 — March 2007

    Contact Me

    Get In Touch

    Feel free to reach out for opportunities, collaborations, or just to say hello!

    240-665-1390
    arunasri.nishtala@proton.me
    Poolesville, MD
    linkedin.com/in/arunaswamy
    Arunasri Nishtala

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