Data Scientist / Statistician

Resume posted by markbfernandez

Desired position type: Full-Time
Location: Raleigh North Carolina, United States

Contact markbfernandez


I enjoy learning new things, discovering what data can tell us, and sharing these insights.


Master of Statistics (MS), Statistics
Mu Sigma Rho – Statistical Honors Society
North Carolina State University – May 2017

Master of Science (MS), Biological and Agricultural Engineering
Phi Kappa Phi – Honors Society
North Carolina State University – 2013

Bachelor of Science (BS), Civil Engineering – Water Resources
North Carolina State University – 2011


Graduate Student, Statistics –May 2016 to May 2017
North Carolina State University
On track to complete Masters in Statistics at a top-ranked graduate statistic program in Spring 2017. Studying a variety of data and statistics disciplines, including spatial, multivariate, linear models, time series, non-parametric, Baysian, and machine learning.

Environmental Consultant I & II – August 2013 to May 2016
AECOM (URS, prior to acquisition)
Worked on data-driven projects related to TMDL, NPDES, and MS4 permit compliance. Wrote, reviewed, and edited technical reports. Met with clients throughout project cycle. Generated maps and performed GIS spatial analyses. Created and maintained Access databases. Analyzed monitoring and modeling results for statistical trends. Constructed technical, data-dense graphics.

Graduate Research Assistant, Biological & Agricultural Engineering (Water Resources) – June 2011 to August 2013
North Carolina State University
Investigated the accuracy of rapid visual field assessments applied to restored streams and wetlands, as compared to biological metrics including benthic macroinvertebrate index and wetland floral indices. Performed multivariate statistical analyses and nonlinear analyses to determine the level of agreement between the visual assessments and the biological assessments.


  • R
  • JAGS
  • WinBUGS
  • SAS
  • SAS Enterprise Miner
  • MS Access
  • ArcGIS
  • Excel


    data analysis, Data visualization

Spoken Languages