Sai Ram Kalluru

Public health professional with a Doctor of Pharmacy (Pharm.D) and MSc in Public Health and Health Promotion (Swansea University, UK), combining clinical domain knowledge with applied research and data analysis skills. Experienced in pharmaceutical data research, pharmacovigilance, secondary data analysis, and evidence-based research methodology including systematic literature review, epidemiological methods, and regression modelling. Proficient in SQL, Python, R, and Power BI for health data analysis and research reporting.

Researcher — Pharmaceutical Data & Clinical Intelligence - Cognizant - Hyderabad, India

(2021-07 - 2022-04)

• Extracted and tracked drug pipeline data across 5+ global clinical trial registries including ClinicalTrials.gov, EMA, and WHO ICTRP — mapping drugs by development stage, indication, and regulatory designation.
• Conducted secondary research and competitive intelligence analysis on drug development trends, translating complex findings into structured reports for cross-functional stakeholders.
• Performed rigorous data quality management including duplicate detection, referential integrity checks, and multisource cross-validation to ensure accuracy and completeness of pharmaceutical datasets.
• Detected and escalated a critical data integrity issue in Clinical Trial ID mapping, leading to a new institutional data governance guideline — earning formal recognition from senior management.
• Interpreted clinical data outputs and mapped findings to disease pathways and drug mechanisms, supporting downstream regulatory and commercial intelligence workflows.

Safety Associate Trainee — Pharmacovigilance & Data Standards - IQVIA - Bangalore, India

(2020-11 - 2021-03)

• Performed structured data entry, coding, and validation using MedDRA and WHO Drug coding systems, ensuring data standardisation and quality control across global pharmacovigilance databases.
• Validated Case Report Forms (CRFs) against accuracy, completeness, and consistency criteria, directly supporting drug safety reporting and regulatory submission workflows.
• Tracked and processed adverse event data in compliance with SOPs, managing productivity targets while maintaining data quality and turnaround standards.
• Gained practical exposure to regulatory pathways, drug safety reporting standards, and pharmacovigilance KPIs across international pharmaceutical datasets.

Relief Residential Care Officer - Swansea Council - Swansea, UK

(2023-05 - 2026-01)

• Provided direct patient care for individuals with dementia, Alzheimer's disease, and autism — developing frontline clinical understanding of CNS disease progression, behavioural outcomes, and care pathway design directly relevant to neurology and ageing research.
• Completed formal Virtual Dementia Training — gaining certified insight into cognitive decline mechanisms, lived disease experience, and person-centred care models applicable to public health research on ageing populations.
• Maintained accurate health and compliance records across multi-agency healthcare settings, upholding rigorous documentation and data governance standards.

Specialisation - Statistical Analysis with R for Public Health - Imperial College London (2025-08 - 2025-10)

MSc - Public Health & Health Promotion - Swansea University (2022-09 - 2023-11)

Doctor of Pharmacy - Pharmacy - Jawaharlal Nehru Technological University (2014-07 - 2020-07)