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Work Background
Chief Technology Officer
Channel Logistics LLC dba Space-EyesChief Technology Officer
Jan. 2022• Leading and managing company technical staff, visiting customers, managing vendors, selecting underlying technologies, attending industry conferences. • Responsible for all technical aspects of mutli-source, multi-sensor AI/ML software application development and delivery.
Data Science Consultant
Breakthrough Data ScienceData Science Consultant
Apr. 2019• Provide end-to-end cloud data delivery systems in AWS. • Provide data project scoping and feasibility advising. • Develop production machine learning models for a diverse array of industries. • Mentor aspiring and current technical professionals.
Data Science and Machine Learning Engineering Mentor & Interviewer
SpringboardData Science and Machine Learning Engineering Mentor & Interviewer
Aug. 2018 - Mar. 2022Mentor Aspiring Data Scientists on their journey to learn the methods and algorithms of Data Science and Machine Learning professionals. Perform behavioral, technical, and coding interviews for platform students as well as providing preparation and feedback to interviewees. • Provide explanations of Machine Learning algorithms • Guide project development • Data Science Interview preparation and support • Debug Python, R, and SQL code
Data Science Consultant
Financial Services Volunteer CorpsData Science Consultant
Jun. 2019 - Jun. 2019Tunis Governorate, TunisiaIn collaboration with two other data science experts we presented and provided workshops on the following topics: • Open Data Frameworks and Governance • Best practices in increasing quality and prioritization of open data sets • Understanding and Evaluating Satellite Remote Sensing Applications in relation to Open Data in Agriculture • Monitoring Forest Fire with publicly available satellite data in R and Python • Drought and Flood monitoring with satellite imagery in R and Python • Open Earth Observing Data Hackathon
Data Scientist
Blue Orange DigitalData Scientist
Sep. 2018 - Apr. 2019Remote• Machine Learning Algorithm development, review, and documentation. • Technical proposal writing and project documentation. • Work performed on Spark distributed system on AWS.
Data Scientist
CVS HealthData Scientist
Jan. 2018 - Aug. 2018Woonsocket, RI• Develop machine learning models for Minute Clinic optimization. • Manage project planning, development, documentation, and communication with Minute Clinic business partners and across the CVS organization. • Model data on Hadoop, increasing efficiency and reducing model run times. • Conduct operational machine learning models through pilot testing and validation.
Data Scientist
Lincoln Financial GroupData Scientist
Nov. 2016 - Jan. 2018Hartford, CT• Developed and implemented Machine Learning algorithms for data driven cross sell and customer retention business activities in Python and R. • Led the initiation of AWS EC2 computing capabilities to expand intensive computing capabilities for data science team. • Advanced data science around processes and systems within the organization by extracting knowledge or insights from data in various forms, either structured or unstructured • Identified, analyzed, and interpreted current & emerging developments/business trends, and presented information to management. • Collaborated with IT & other stakeholders to evaluate current state of data; supported the development of tactical plans to improve data management and resolve technical challenges impeding data availability, quality, metric consistency and credibility • Supported the development & implementation of a business analytic framework to include forward-looking metrics and insights.
Statistical Modeler
State of MontanaStatistical Modeler
Aug. 2014 - Sep. 2016Bozeman, MT• Provide technical expertise by developing, specifying and calibrating multivariate regression models for mass appraisal of residential and commercial properties in SAS and R. • Conduct independent data analysis projects on economic market trends, spatial correlation and data segmentation in R Statistical software. • Develop and present effective data visualization, reports, and presentations, using R Studio Markdown Reports, ggplot2 in R, SAS, ArcGIS, Python, Microsoft Excel Pivot Tables, Microsoft Office Suite. • Implemented improved methods for data analysis steps, improving overall process efficiency and effectiveness of market models. • Analyze and report on the performance of statistical models used within the department.
Research Assistant
Montana State UniversityResearch Assistant
Jun. 2011 - Aug. 2014Bozeman, MT• Applied a Random Forest classification to multi-source, multi-temporal, spatial data in R. • Implemented a multi-resolution wavelets change detection analysis in R and Matlab. • Completed an uncertainty analysis of remote sensing data via a Monte Carlo simulation in R and Matlab. • Developed and collaborated on manuscript publications and professional presentations, including writing, editing, data visualization, and maps. • Managed project logistics for multiple projects including transport and installation of equipment and data collection by graduate researchers in remote environments of Montana and Alaska. • Provided a multitude of graduate students with statistical and spatial analyses assistance; including project development, interpretation of results and writing data processing code.
Teaching Assistant and Guest Lecturer
Montana State UniversityTeaching Assistant and Guest Lecturer
Jan. 2012 - Dec. 2013Bozeman, MT**2013** Course: Environmental Biophysics Guest Lecture: 2/5/13 An Overview of MODIS & ModisClient for Matlab • Provided students with one-on-one lab help with project design, analysis methods, code writing, and debugging. • Held office hours to help students with course content and answer questions including review for exams. Course: Remote Sensing & Digital Image Processing Guest Lectures: 10/15/13 Vegetation Indices: Application of NDVI, 11/5/13 An Overview of LIDAR, 11/7/13 Change Detection Analysis in Remote Sensing • Provided students one-on-one lab help with image interpretation and analysis. • Held office hours to help students with course content and answer questions including review for exams. Course: Introduction to Soils • Led weekly soils laboratory lectures and experiments, including materials setup. • Provided students guidance during the lab exercise and review of course content. • Held office hours to help students with course content • Designed, tested, and implemented a teaching methods experiment in cooperation with two other graduate students. **2012** Course: Environmental Biophysics Guest Lecture: 3/8/12 Instrumentation and Data Collection in the Field Other duties: • Provided students guidance and one-on-one lab help with project design, analysis, and code writing and debugging. • Held office hours to help students with course content and answer questions including review for exams. Course: Watershed Hydrology Guest Lecture: 10/18/12 Snow Energy Balance, 10/31/12 Evapotranspiration Other duties: • Graded exams, managed online course content, and held office hours to help students with course content and answer questions including review for exams.
Instructor
The University of Montana-WesternInstructor
Sep. 2013 - Dec. 2013Dillon, MTCourse: Geographic Information Systems Seminar • Developed and designed all course materials, lecture presentations, lab exercises, and assignments. • Presented lectures and answered questions. • Provided students guidance during the lab exercise and review of course content. • Managed online course materials. • Graded weekly lab assignments.
Remote Sensing Data Scientist
RedCastle ResourcesRemote Sensing Data Scientist
Jun. 2010 - May. 2011USDA Remote Sensing Application Center in Salt Lake City, UT• Implemented testing and validation of a support vector machine algorithm for spatial data classification in Python and Erdas Imagine; drafted associated documentation and performed accuracy assessments on results. • Data acquisition and organization over 10 Terabytes of data. • Used SQL to query, edit, and download data. • Performed a comparative analysis of Random Forests classification trees and traditional supervised classification techniques in R. • Developed and presented a cohort of remote sensing courses for resource managers. • Provided mentorship to forest resource managers on individual spatial data analysis projects. • Provided geospatial analysis project development support to USDA Forest Service employees. • Researched and published a manual for carbon stock accounting via remote sensing methods.
Remote Sensing Data Scientist
U.S. Forest ServiceRemote Sensing Data Scientist
Dec. 2008 - May. 2010Missoula, MT• Built automated processing models and wrote ArcInfo code for data processing. • Addressed and resolved problems with data acquisition, processing techniques and product accuracy. • Classified remote sensing data using Random Forests in R, object oriented unsupervised classification in eCognition, and k-NN supervised classification in R. • Completed a comparative analysis of classification techniques accuracy in classifying land class and forest species data using python and ArcGIS.
Remote Sensing Data Science Analyst
U.S. Forest ServiceRemote Sensing Data Science Analyst
Jun. 2007 - Dec. 2007Missoula, MT• Processed remotely sensed imagery for use in a major vegetation-mapping project in ArcGIS, ArcInfo, and Erdas Imagine. • Addressed and resolved problems with data acquisition, processing techniques and product accuracy. • Developed a spatial model for Helipad potential landing sites.
Assistant Non-Commissioned Officer In-Charge
US ArmyAssistant Non-Commissioned Officer In-Charge
Dec. 2007 - Dec. 2008Fort Knox, KY• Assisted in the supervision of 5 soldiers and 19 civilian employees. • Maintained over $500,000 worth of hand receipts for equipment and supplies. • Developed and maintained work schedules for the department. • Supervised training and professional development of soldiers.
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