SUMMARY:

• Data Analysis Scientist and Licensed Engineering Geologist with over 15 years of experience in scientific, technical and business data management and analysis, geographic information systems (GIS), spatial data analysis, and engineering geology.
• Proficient in both office and field environments with a proven ability to adapt to multiple methodologies, industries, technologies and audiences.
• Adept at using applied technical data and analysis abilities to help create solutions with scientific rigor.
• Data Management and Analysis
• Environmental Consulting
• Enterprise - level Database Development
• Spatial Data Modeling and Analysis
• GIS, Tabulated and Other Analysis Methods
• Task Automation, including coding / scriptin
• Underground and Surface Mining and Engineering.
• Deep Core Analysis
• Road cutting, Dam Foundations and Reservoirs
• Mass Movement and Remediation Work,
• Trenching and Mapping, Quarries and Road and Rail cuts

PROFESSIONAL EMPLOYMENT HISTORY:

Confidential, Lakewood, CO

Research (Spatial) Data Scientist | GIS Analyst | Geospatial Data Architect

Responsibilities:

• Data architecture and applied research support to the National Hydrography Dataset Plus High Resolution project
• Data architecture and applied research support to the Vector Tools agile development team
• Python coding in support of (i) large scale NHD data manipulation (CAC Catchment Analysis, Catchment smoothing, GeoPackage creation) with US-wide FGDBs greater than 55 GBs in size and over 75 million records (ii) also large scale NHDPlusHR processed data validation including scientific (hydrology) data logic generation and adjustment
• Applied technology implementation for work flow for data processing and management - Python, NumPy, pandas, GeoPackage, QGIS, RESTful services implementation and indexing and other.
• Researching technical options and business needs for distribution of nation-wide spatial dataset distribution in a non-proprietary format (GeoPackage). Prototyping code-created GeoPackages based on existing data deliverables and use in open source products (such as QGIS and Leaflet)
• NHDPlusHR datasets 'super tester' including writing over 30++ data validation routines in Python (including use of NumPy and pandas for necessary speed gains and memory management) and testing and tweaking of contractor-supplied systems for in-house use and production implementation, including user documentation updates, spatial Python code trouble shooting
• Manage NHD and non-NHD data model and schema changes through the Data Management Change Control Process (DMCCP), including senior staff presentation to the Data Product Review Board (DPRB)
• Applied research support for Vector Web Edit agile development team, Hydrography Services, Open Water Data Initiative, National Hydrography Dataset Data Model Team, prototype development, including coding and scripting
• Investigation of new technologies and how they might be applied, especially in the geospatial realm and open-source arenas.
• Mentoring of junior staff in the fundamental science of hydrology and the use of technologies (ArcGIS Pro and 10.5.1, Python including additional libraries, SME on NHDPlusHR software technical details, and so forth)

Confidential, Denver, CO

Adjunct Faculty Member | Instructor

Responsibilities:

• Part time instructor for 2nd year, Applied Geographic Information Systems (GIS) for Scientists, undergraduate class (GIS 2250); helping a colleague for just one semester

Confidential, Centennial, CO

GIS Specialist | Data Analyst

Responsibilities:

• On-site project work in the nuclear power plant and Mid-Stream Gas sectors.
• Use and analysis of FEMA HAZUS datasets, and the creation and display of 2D and 3D datasets, particularly in SolidWorks and ESRI environments, including ArcGIS Pro.
• Oil and Gas technical work including processing guided wave data, and existing pipeline analysis to better target field reconnaissance based on derived pipeline segment inclination angles.
• Integrating best available DEMs and other spatial and tabular technical datasets including Python coding to readily and consistently generate analysis results of 100+ miles of pipeline, and process surface cover datasets.
• Business development and process analysis using site-specific point cloud datasets to generate 3D spatial datasets for addition and integration into existing datasets. Working with enterprise GIS midstream gas PODS database structure and population with spatial components. (SQL Server, ArcGIS Server setup, ArcSDE, IIS configuration for SSL, Portal for ArcGIS, Web App Builder for ArcGIS). Generated large aerial imagery and LiDAR datasets (including processing raw LAS datasets).

Confidential, Broomfield, CO

Licensed Engineering Geologist

Responsibilities:

• Enterprise database design, construction, evolution, population, management for technical data analysis and access by multiple parties. Working with multidisciplinary technical teams to integrate varied datasets for specific technical goals, including working on guiding and leading analysis projects.
• As an analyst, internal and external client interaction to scope and provide specific deliverables. Acted as a technical expert for the team within and outside of the company for ongoing piezometric surfaces generation to help determine possible free product transport on top of the water table over time. Working with tribal datasets and developing empirical alluvial fan dating methods to better enable preservation of indigenous artifacts and sites on large Federal land holdings.
• Project leadership on a diverse array of efforts including:
• Consolidated and simplified data access in support of business analysis. Designed and initiated DOE data management system deployment. Managed junior technical staff and worked to integrate the technical datasets of the numerous SME. Coordinated short term and multi-year modeling and imagery studies, data management and ongoing technical data analysis capabilities and implementation.
• Designed, built and field-tested a measurement methodology that reduced the time and cost of both analysis and cleanup and led to first-pass regulatory approval. Ongoing spatial analysis and mapping of contaminants guided field crews to optimized cleanup. Employed the same methodology for a future project at the Colorado School of Mines.