I am a rigorous biostatistician and epidemiologist with over 9 years of experience in health data analytics, statistical modeling, and large-scale data management. Certified in SAS Base Programming and Clinical Trials Programming, I am transitioning from academia to the pharmaceutical industry to apply my expertise in CDISC standards (SDTM/ADaM) and real-world evidence (RWE) to clinical research and regulatory submissions. With a proven track record in international projects (e.g., Guinea DHS 2018, West Africa health initiatives), I excel in collaborative environments, delivering submission-ready insights and supporting high-quality publications.

Core competencies

Programming & Tools

  • SAS (Certified Base & Clinical Trials; macros, PROC SQL, ODS)
  • R Programming (survey, dplyr, ggplot2, tmap, survival)
  • Quarto, GitHub (reproducible workflows)

Clinical & Analytical Standards

  • Clinical Trials Programming
  • Clinical Data Interchange Standards Consortium (CDISC): SDTM, ADaM & define.xml
  • Statistical Analysis Plans (SAPs)
  • Statistical Modeling (logistic regression, GEE, GAM, GLM, GLMM Survival analysis)
  • Geospatial analysis & data visualization
  • Complex data management (Surveys, surveillance, environnemntal)

Professional Skills

  • Cross-Functional Collaboration
  • Communication (publications, training, workshops)
  • Regulatory Compliance (GCP/ICH famliarity)
  • Quality Control (QC) and data validation

International Experience

  • Experience working internationally

My Transition to Pharma/Industry

My academic background in epidemiology and biostatistics, combined with hands-on SAS training and CDISC projects, has prepared me to contribute to clinical trials and RWE studies. Projects like my end-to-end CDISC workflow (SDTM/ADaM, TLF, define.xml) demonstrate my ability to deliver regulatory-compliant deliverables, while my R-based DHS analysis showcases transferable skills for RWE and observational studies.

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