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Professional Summary:

I am a senior statistical programmer with extensive experience in SAS, R, Python, CDISC, and statistical methodology. With a career spanning over two decades, my expertise is in transforming complex data into insightful, actionable intelligence, primarily in the healthcare and banking sectors.

Key Expertise:

Programming mastery: Over 10 years of experience in leveraging SAS, R, and Python for data analysis, transformation, and reporting. CDISC Proficiency: Skilled in producing CDISC-compliant datasets and quality control for FDA e-submissions. Statistical Methodology: Adept at applying statistical techniques for study design, analysis, and report generation. Career Highlights:

Innovative Data Analysis: Played a pivotal role in the analysis and reporting for Evrysdi (Risdiplam) medication, significantly contributing to its FDA approval for treating spinal muscular atrophy. Leading Clinical Data Management: Managed and analyzed data for a $19m geriatric study, showcasing my ability to handle large-scale and high-stakes projects. Contributing to Critical Studies: Led CDISC quality control and data mapping for Aphinity, the largest oncology study with 4,805 patients, supporting the approval of the Perjeta treatment. Education & Continuous Learning:

Master's Degree in Statistics, University of Maryland Baltimore County. Continuous upskilling in languages, including C1-level proficiency in German, focusing on professional communication.