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Click here or scroll down to respond to this candidate Candidate's Name
Street Address PHONE NUMBER AVAILABLE EMAIL AVAILABLE
PROFESSIONAL SUMMARY
Highly skilled and dedicated Health Information Technology professional with a strong background in
pharmaceutical safety and healthcare data analysis. Experienced in ensuring data integrity, compliance
with regulatory requirements, and delivering actionable insights through analytics. Proficient in SQL,
ARGUS, ARISg, and data visualization tools. Excellent communicator with a proven track record of
collaborating effectively in cross-functional teams and working independently.
EDUCATION
University of Maryland, Baltimore County (UMBC) Baltimore, MD
MS in Health Information Technology, Cumulative GPA: 4.0/4.0 Aug 2022 - May 2024
Relevant Coursework: Introduction to Healthcare Databases, Health Informatics, EHR (Electronic
Health Record), EMR (Electronic Medical Record), Security and privacy, HIPAA, CDSS (Clinical
Decision Support Systems), Data Analytics, Healthcare Process and Quality Improvement.
Jawaharlal Technology University, Anantapuram India
Doctor of Pharmacy, GPA: 3.67/4.0 Nov 2011 - Aug 2017
PROFESSIONAL EXPERIENCE
OrciMed Life Sciences Hyderabad, India
Senior Drug Safety Specialist/Analyst Mar 2022 - Jul 2022
Conducted data quality reviews for various report types, ensuring data integrity and accuracy
aligned with Healthcare Data Warehouse requirements.
Utilized SQL to analyze datasets, ensuring completeness and accuracy.
Ensured compliance with regulatory requirements, provided training and mentorship to associates
in ICSR processing using the Argus database.
Facilitated process training for new hires and assisted in developing operational work instructions.
PPD (a part of Thermo Fisher Scientific) Hyderabad, India
Safety Specialist/Analyst Jan 2019 - Dec 2021
Oversaw processing of adverse events (SAE/AE), ensuring accurate data entry and quality review
for consistency and meeting regulatory deadlines.
Managed weekly and monthly follow-up collation and reconciliation tasks using Microsoft Excel.
Effectively utilized ARISg and Argus database for data management, ensuring data consistency and
reliability for the data warehouse.
Facilitated client communication to understand project requirements, while also interacting with
customers for process improvement and documented MOMs.
Vigi Medsafe Private Limited Hyderabad, India
Safety Process Associate Analyst Oct 2018 - Jan 2019
Managed processing of serious adverse events (SAEs) including database entry, tracking, and
narrative writing for assigned projects.
Coordinated SAE book-in, triage, data entry, and quality review activities in Argus to ensure
consistency and compliance with global health authority regulations.
Bioclinica Mysore, India
Drug Safety Associate/ Analyst (Level-1) Aug 2017 Jun 2018
Assessed and entered serious and non-serious preliminary and follow-up adverse event reports
received via telephone, mail and electronic source documents into a global electronic adverse
event database (ARIS g)
Ensured the accuracy of MedDRA coding for definite adverse events and WHODD for drug coding.
Performed duplicate search of received cases/reports with SQL and in the ARISg database.
SKILLS
Analytics/Databases/Tools: SQL, R, ARGUS, ARISg, Tableau, Microsoft Word, Excel, PowerPoint, Outlook.
Clinical Terminology: HL7 Framework, FHIR, CPT, ICD, ICD-10, SNOMED-CT, EMR.
Conceptual schema design for information modeling using ER diagrams.
Interpersonal skills: Good communication, Problem-solving, and Teamwork.
ACADEMIC PROJECTS
Hospital Database for Assessing COVID Susceptibility in Immunocompromised Patients in MySQL
Designed and implemented SQL database schema to efficiently store patient data efficiently.
Transformed raw data into optimized table layouts within the Hospital Database.
Utilized SQL queries to extract relevant data for analysis, enabling the identification of high-risk
patient cohorts and susceptibility trends.
Created a Tableau dashboard utilizing a hospital database to analyze COVID-19 susceptibility
among immunocompromised patients, facilitating informed decision-making in healthcare.
Analyzing Cardiovascular Disease Trends and Risk Factors using Medical Claims (Medicare/Medicaid)
Data in RStudio
Utilized R for healthcare data analysis, employing features such as data manipulation (subset,
aggregate), statistical summary (summary), linear regression modeling (lm), and visualization
techniques including bar graphs (ggplot2), box plots (boxplot), and pie charts (coord_polar) to
derive insights into US cardiovascular disease trends and inform healthcare decision-making.
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