John Michael L'Heureux has over 3 years of experience as a meteorological data analyst and 5 years of geospatial work experience. His passions for spatial processes, meteorology, and big data analysis have given him a unique skill set. He has experience analyzing large datasets, improving data quality and accuracy, developing weather and crop models, and using various programming languages and geospatial software.

1. JOHN MICHAEL L’HEUREUX
1331 Southpoint Crossings Drive • Durham, NC 27713
jmlheure@gmail.com • (828) 773-2219
SUMMARY
Over three and a half years of experience as a meteorological data analyst and five years of
geospatial work has given me an additional interest in managing large datasets. My interest in
spatial processes and meteorology has been a passion since I was forecasting the weather at age 4
and mapping by hand the interstate highway system at age 5. My passion and enthusiasm takes
lifelong passions with a big data focus and turns it into a unique skill set.
PERSONAL SKILLS
• Ability to work on multiple project simultaneously
• Strong team skills and well versed in cross team collaboration, building team skill
sets, and optimization of delegating team resources
• Ability to analyze business process and systems, break down complex problems for
optimal problem solving, migrate to/integrate with geospatial systems
• Excellent at taking a concept, breaking down requirements, and creating an
executable solution
• Able to pick up quickly on new methodologies and programming languages
TECHNICAL SKILLS
• Proficient with ArcGIS, TSQL, SSIS
• Experience with R, Python, GRASS, Perl, Java, Vertica, C#, XML
• Well-versed with Microsoft Office Suites, Microsoft Access, Microsoft OneNote,
Microsoft Visual Studios (2008, 2010, and 2012), SourceTree, Postman, LINQPad,
RStudio
WORK EXPERIENCE
Meteorological Data Analyst 7/9/2012 – present
AWhere Durham, NC
• Writing technical architecture documents and defining/managing expectations for the
product team for an overhaul of the core weather product
• Writing automated quality testing from multiple data sources on a global scale
through statistical functions and spatial validation methods; creation of a new quality
index
• Constructed a fast and flexible data accuracy analysis over a global coverage for
reoccurring use
• Created a hybrid satellite/radar/observed precipitation product that became the core
product for AWhere (35% improvement of data accuracy over the TRMM 3B42
product, 15% improvement over the NASA GPM IMERG product)

2. • Improved data quality and data interpolations led to a 7% improvement of daily
temperature data in the USA (8.9% globally)
• Combing data analysis from weather derived parameters and field level crop data
pertaining to crop managing decisions
• Overhauled daily jobs for faster data ingestion, quality control, and improved speed
of spatial interpolations
• Writing of production facing TSQL, Python, and SSIS reoccurring daily jobs
• Use of Python, TSQL, and R for data transformations, data assimilation, and data
interpolation processes
• Use of R for statistical plotting/calculations and data interpolation testing
GIS Analyst 02/02/2012 – 07/05/2012
North Carolina State University Raleigh, NC
• Produced agriculture and meteorological 2D and 3D maps using ArcMap, GRASS,
and Google Earth
• With Python, created a new hail damage index through the spatial integration of
multiple weather data sources and spatial crop data to run in a crop model
• Combination of satellite derived and observed crop data for a new crop yield index
Undergraduate ResearchAssistantship 11/10/2009– 7/20/2010
Appalachian State University
• Conducted atmospheric science research for seven hours a week
• Presented poster presentations and authored research papers
EDUCATION
Masterof Science in Marine, Earth, and Atmospheric Science
Minor in Geographic Information Sciences
North Carolina State University - Raleigh, NC
Bachelor of Applied Science in Geography and Planning
Minor in Physics
Appalachian State University - Boone, NC