GIS Analyst Resume Houston, TX - Hire IT People

SUMMARY

Solid experience as a geospatial engineer and data scientist in geospatial modeling and analytics by integrating geospatial data (remote sensing and GIS), data mining, statistics, computer vision, and machine learning approaches, backend programming to meet the needs of business applications and various technology partners such as USGS, USDA, APPLE and EPA.
Experience to better understand the existing challenges and develop actionable tools for stakeholders and decision - makers to help with land, weather, water and energy constraints.
Knowledge of remote sensing, GIS, database and backend programming such as Python, R and Java
Knowledge of statistics and developing data mining, machine learning and predictive models
Experience using Linear-mode and Single-Photon LiDAR to gather and process point clouds
Experience using aerial Hyperspectral data to map soil properties
Experience using unmanned aerial vehicle to collect and process remote sensing images
Create 3D point clouds through Structure from Motion techniques
Experience using GPS/INS to gather and process geospatial data
Experience using Total Stations to collect and generate Planimetric and Topographic maps
Knowledge of GeoServer and PostgreSQL to upload and retrieve data
Automate quality assurance and quality control processes on geospatial data
Experience using Amazon Web Services to store data and perform cloud computing
Experience using parallel DBMS and Spark to process recursive queries
Experience using census data to create school district maps for Iowa Area Education Agencies
Enthusiasm to learn new skills quickly and organize group meetings to meet the goals of company
Detail oriented, organized and prioritize multiple projects effectively
Communicate effectively both orally and in writing

TECHNICAL SKILLS

ArcMap, ArcCatalog, and ArcScene
PostGIS, GeoServer and PostgreSQL
Cloud computing and Amazon Web Services
MapReduce, Hadoop, and Spark
ENVI, ER Mapper, ERDAS Imagine and IDRISI
ArcGIS Model Builder, QGIS and UDig
Agisoft Photoscan, ContextCapture
LiDAR Analyst, LAS Tools
Cyclone, Cloud Compare, TerraScan
C#, C++, Java, Python, and Scala
JavaScript and HTML
Matlab, SPSS, SAS and R
Jira, Slack and Github
GeoJSON, WKT and XML
AutoCAD, Microstation
Microsoft office (Word, Excel, Power point and Access)

PROFESSIONAL EXPERIENCE

Confidential, Houston, TX

GIS Analyst

Responsibilities:

Maintain asset layers and GIS data relating to company operations
Prepare maps and conduct research to support business development efforts
Utilize tools such as drilling info and other research databases to pull rigs, permits, and acreage to provide a holistic assessment of market fundamentals of key areas of interest

Confidential, Houston, TX

Geospatial Scientist

Responsibilities:

Collect and process GPS/INS data
Use Terrestrial Laser Scanners data to calculate the displacement of Elizabeth Tunnel in Southern California with Python
Create a platform to perform Structure from Motion with Python and Matlab
Apply Structure from Motion to capture surface ruptures resulting from Landers Earthquake
Compute LiDAR full-waveform Aerial Laser Scanner range uncertainty in Matlab
Evaluate Structure from Motion point cloud precision with Terrestrial Laser point cloud
Computing localization error of feature detectors (e.g., Harris Corners, SIFT, Brisk, SURF) with Python and Matlab
Image classification and segmentation with supervised and unsupervised algorithms using Python and Matlab
Comparing canopy penetration of aerial (Titan) and single-photon LiDAR

Confidential, Iowa City, IA

Geospatial Scientist

Responsibilities:

Create school districts maps using GIS
Collect and process aerial hyperspectral data using Near Infra-Red and Short Wave Infra-Red sensors
Generate high resolution (~1 m) soil properties maps (e.g., Moisture, Bulk Density) from hyperspectral images
Collect Terrestrial Lidar Scan data using Leica’s C10
Process Terrestrial Lidar Scan data in Cyclone and Lidar Analyst to create 3D models
Extract objects such as buildings and trees from 3D models obtained from Lidar point clouds in Python
Model distribution of Cancer in Iowa with Python

Confidential

Geospatial Scientist

Responsibilities:

Use supervised and unsupervised algorithms to create land cover maps from satellite images
Model land cover change using artificial neural networks, logistic regression and decision tree
Perform advanced GIS analyses such as buffer and overlay
Store and retrieve spatial and temporal data in database
Data conversion (raster to vector and vector to raster)
Create topographic maps and calculate excavation
Establish benchmark points for land surveying
Conduct surveys to establish legal boundaries for properties
Use computer-aided design, SDRMap, and Land to process and export data

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Gis Analyst Resume

Houston, TX

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