Khalid Muhammad

Data Analyst @Inova Health Systems, Inc

VA, US

Analyzed patient outcomes data from 100+ clinical trials using Python and SQL, identifying key trends that improved drug development strategies and increased trial efficiency by 15%. • Developed automated reporting solutions with advanced SQL queries and Python scripting, integrating data from Electronic Health Records (EHR) and lab systems, improving KPI reporting speed by 40%. • Collaborated with clinical teams to design experiments and apply statistical methods such as ANOVA, regression analysis, and machine learning using Scikit-learn and TensorFlow to generate actionable insights improving patient care. • Communicated complex data insights to cross-functional stakeholders through clear presentations and data storytelling, enhancing stakeholder engagement by 20%. • Standardized data entry processes and implemented SQL Server Integration Services (SSIS) workflows on Azure Data Factory, reducing data entry errors by 30% and improving overall data quality • Trained team members on Power BI for data visualization and self-service reporting, increasing report creation efficiency by 25%. • Assisted in validating predictive machine learning models for patient outcomes, supporting clinical decisionmaking and improving model accuracy by 15%. • Created comprehensive documentation for data analysis procedures, ensuring reproducibility and compliance with regulatory standards including HIPAA, contributing to successful audit outcomes.

George Mason University

Masters in Data analytics and Engineering

KL University

Bachelor of Technology - BTech