Sejal Neve

Synergen Bio Pvt. Ltd. | Pune, India

• Mapped raw EDC data into CDISC SDTM and ADaM compliant datasets using Python (pandas) across 5 Phase I/II studies, supporting regulatory-ready submission datasets for DCGI and global filings.
• Wrote Python scripts (NumPy, SciPy) to calculate C_max, T_max, and AUC and test bioequivalence against reference formulations using 90% confidence intervals for 5 studies.
• Developed SQL validation checks to flag data discrepancies (such as adverse event onset dates before dosing) across 600+ queries, reducing database lock time by 22%.
• Built SQL views with CTEs and window functions to report dropout patterns, screen-failure ratios, and protocol deviations, delivered as dashboards to Principal Investigators.
• Automated AE/SAE data cleaning and MedDRA coding on 1,500+ safety records, improving coding efficiency by 18%; reviewed audit trails to support ALCOA+ and Schedule Y compliance.

Muskurahat Foundation (Nonprofit) | Pune, India

• Built structured program databases supporting outcome evaluation across 5+ community outreach initiatives; tracked 10+ KPIs and generated regular activity reports for donor presentations.
• Coordinated cross-functional data collection and logistics, improving accuracy and efficiency of program reporting.

UMBC Graduate Capstone | Remote

• Analyzed 100,000+ patient records to identify drivers of 30-day readmissions using exploratory data analysis, feature engineering, and classification models (Random Forest, Logistic Regression).
• Identified high-impact clinical predictors (prior admissions, medication changes, comorbidities) and delivered risk stratification recommendations to support early clinical intervention.

Independent Portfolio Project | United States (Remote)

• Designed and executed SQL queries (joins, aggregations, subqueries) across multi-dimensional healthcare cost and utilization datasets to surface trends and cost drivers.
• Built an interactive Tableau dashboard highlighting high-utilization patient segments, optimization opportunities, and cost trends for stakeholder review.

Independent Portfolio Project | United States (Remote)

• Downloaded and cleaned CMS Open Payments and Medicare Part B datasets using Python (pandas), applying HIPAA-compliant de-identification practices.
• Produced a written findings report with visualizations comparing cost and utilization patterns across provider specialties and states.

Poona College of Pharmacy | Pune, India

• Developed drug-loaded ocular inserts as a sustained-release alternative to eye drops after cataract surgery, using a BCS Class IV non-steroidal anti-inflammatory drug to reduce eye redness and inflammation.
• Fabricated and compared 10 electrospinning batches, analyzing fiber characteristics and drug release (UV spectroscopy, pH meter, Sotax flow-through cell) to identify the most effective formulation.

University of Maryland, Baltimore County (UMBC) | Baltimore, MD

• Relevant coursework: Health Data Analytics, Database Systems, Health Informatics, Statistics for Health Sciences

Poona College of Pharmacy, Bharati Vidyapeeth University | Pune, India

• Clinical sciences foundation supporting understanding of healthcare data context