Shannon Proctor Email & Phone Number

San Diego, California, United States

• Leveraged by command leadership as organizational subject matter expert for data science initiatives.
• Hand selected for highly visible team focused on enterprise-wide digital transformation.
• Automated data integration pipelines across organizational boundaries ensuring consistent, accurate, and timely data to enable data driven decisions at the speed of relevancy.
• Introduced and integrated Agile development framework methodologies for cross-division and command project teams, implementing frequent small feature releases with consistent customer engagement.
• Designed, developed, and implemented an automated Procurement Dashboard in Power BI Cloud Service, recognized as the enterprise gold standard.
• Self-taught, developed a Power Apps solution for community leaders to enter engagement data, track trends and internally manage personnel while providing mechanism for clean, consistent data collection.

Irvine, California, United States

• Involved in end-to-end data efforts supporting multi-year, $25M National Institute of Mental Health initiative to address the effect of early-life adversity on brain maturation.
• Leveraged R to create models, run simulations, and produce analytics products for animal and human research.
• Managed (stored, cleaned, documented, analyzed) long-term video imaging data for multiple cohorts.
• Consulted and supported other efforts in planning statistical analyses, developing innovative risk models, data management support, and subject matter expertise.

Irvine, California, United States

• Led individual tutoring, group lessons, and discussion sessions on topics including exploratory data analysis, data visualization, linear regression, analysis of variance, simulation, and optimization methods, serving.
• Trained students how to write human and machine-readable code using R.
• Introduced and taught the utilization of R to write human and machine-readable code for data analysis.
• Taught concepts such as study design, simulation, random variables, Bayesian estimators, and frequentist hypothesis testing in the context of computer science and data literacy.

Bs Applied Statistics

Concentration: Neurobiology Data Analytics Intern, National Cancer Institute (2014)

Phd Coursework

Ms Statistics

Concentration: Biostatistics (Clinical Studies, Neurobiology, Epidemiology)