Vijay Kumar Gaddam
+1-317-***-**** ********@*****.*** www.linkedin.com/in/vijakumargaddam
TECHNICAL SKILLS
Programming Languages: SQL (MySQL, PostgreSQL), Python (NumPy, Pandas, Scikit-learn, Matplotlib, SciPy), R Data Analysis & Visualization: Tableau, Power BI, MS Excel, A/B Testing, Hypothesis Testing Data Engineering: SQL Server, SSMS, SSIS, SAP, Hadoop, Spark, Git Tools: SPSS, MIS Office, STATA, VS Code, Jupyter Notebook, REDCap Cloud & Infrastructure: Azure, Snowflake, AWS,
ETL & Data Migration: Containerization Technologies, Version Control Systems WORK EXPERIENCE
Indiana University School of Medicine
Clinical Research Data Analyst Apr 2023- Dec 2024
• Optimized data management processes to ensure data accuracy, quality, and compliance with industry regulations, aligning practices with healthcare IT standards.
• Implemented rigorous data quality checks that boosted data reliability by 15% in public health research projects, reinforcing data pipelines for future ML operations.
• Directed the integration and management of clinical data from EHR systems, enhancing accuracy and reducing anomalies by 20% while upholding healthcare compliance standards.
• Mentored clinical staff on system enhancements, fostering continuous learning and supporting streamlined data automation aligned with healthcare IT protocols.
• Optimized SQL-based database structures through indexing and normalization to achieve 30% faster query responses, thereby enhancing ETL processes and scalable data retrieval for ML operations. Accenture PVT LTD
Data Analyst Mar 2018 - Dec 2022
• Managed pharmacovigilance operations for global clients, including Novartis, Alexion, and Teva Pharmaceuticals, ensuring strict compliance with international regulatory standards (FDA, EMA, ICH guidelines).
• Processed and analyzed over 3,500 adverse event (AE) case reports annually using Argus Safety and ArisG systems, ensuring 99.8% accuracy and adherence to submission timelines.
• Developed and reviewed safety monitoring plans expedited adverse event reporting, and data reconciliation processes, reducing discrepancies by 25% and improving regulatory compliance.
• Led preparation and submission of over 40 Periodic Safety Update Reports (PSURs), Risk Management Plans (RMPs), and Development Safety Update Reports (DSURs) with 100% on-time delivery.
• Developed interactive data visualization dashboards in Tableau, Power BI optimizing data delivery and identification of adverse event trends by 25%, improving decision-making for drug safety protocols. EDUCATION
Master of Science, Health Informatics, Indiana University Indianapolis, IN Jan 2023 – Dec 2024
• GPA: 3.7
Doctor Of Pharmacy, Pharm D, Acharya Nagarjuna University Jun 2010 - Nov 2016
• GPA: 3.9
PROJECTS
Indiana University
Development of an Interactive System for Summarizing Radiology Reports Using Large language models Jun 2024
• Configured and integrated a vector database and LLM using APIs in Python, optimizing radiology report processing.
• Developed and implemented RAG (Retrieve-Augment-Generate) API models for automated summarization, ensuring data accuracy and compliance with healthcare standards. Indiana University
Labeling Chest X-Ray Free Text Reports Using Various NLP Techniques and Their Comparative Analysis Apr 2024
• Conducted extensive data cleaning and validation using Python, improving data quality by 15% for label extraction.
• Utilized CheXtent for label extraction and fine-tuned NLP models, automating the analysis process and enhancing overall data accuracy and compliance.
Indiana University
Statistical Assessment of Mortality Risk Among ICU-Admitted Heart Failure Patients Nov 2023
• Applied statistical methods to identify significant predictors of in-hospital mortality, enhancing patient risk stratification.
• Conducted subgroup analysis using R studio and STATA to determine associations between mechanical ventilation and mortality and visualized key findings using tableau.
CERTIFICATION
Database Foundations: Database Management
Designing Database Solutions for SQL Server
Tableau Certification
Learning Excel: Data Analysis