• We bring geospatial insight to serve the commercial real estate business and peer technical groups• I lead two capable teams delivering data products, analytics, and engaging visualizations• Manage $2MM budget, Achieved non-wage G&A savings of 25%, Regular CEO/C-suite presentations• Done 6mo: Reorged around strengths, ID'ed business value, Authored strategy, Streamlined projects• Done 12mo: Data Science productized, Parcels deployed, Business-owned dashboards launched• Done 18mo: Deployed rank and filter of 200k off-market prospects, key features co-innovated by field

• We purchase, renovate and sell real estate across multiple states at a tremendous rate• Set analytics vision and platform combining operational, historic and 3rd party data• Tableau, SQL Server, Azure platform, data democratization, data driven influence for executives• Done: Built team of four, delivered dashboards and unified data model, first data science results

• Evolved this startup with modern data stack, lean staff, budget - Got Series C with tech focus• Grew the Data Team from two to five hiring data engineers and analysts• Initiated and partnered with Finance and Operations to strengthen data culture across the org• Deployed Azure SQL, BigQuery, Airflow, Fivetran, dbt Cloud, Power BI, Python, ERP migration• Elevated "...because you work so well with so many different people" -CEO, Sep 2020

⇨ Authored systems that enabled an eight-fold growth in sales during COVID - Got Series B• Fresh food manufacturing startup required data driven solutions within days or hours• Authored lightweight ERP coded on Google platform integrating point solutions and analytics• JavaScript automation, Cloud Functions in Python, Notebooks for Pandas, Sheets for UI• Order aggregation, Production planning, Material demand, Fulfillment, Logistics, Reporting

I have the honor of leading a team delivering data science. My job is to lead, motivate, and identify strengths. Forging positive relationships across the business is critical for success.• Data Visualization Manager of three then served as interim Data Science Manager of nine• Operationalized statewide drone program in 6 months • Power BI system in 3 months• Data science projects: 3D wellbore collision map, Oil production surveillance

Promoted to the new Big Data Analytics team reporting to the CEO. Responsible for rapid Python deployments of Flask, Pandas, Scikit-learn, Spotfire BI, and GIS.• Competitor Intelligence Dashboard tracking mineral leases • Well File crawler of state data

Engage the business and hand off actionable dashboards and code• Work Order map app, Permit Review map app, Asset development bubble map animation• Well Master dashboard companywide, Production accounting integrations documentation• Administer company Spotfire Server including Library and Web Player cluster• Leverage Python APIs in ArcGIS, Spotfire, and Open Source GIS• New to the industry, I quickly learned petroleum workflows and industry specific tools

Founded a partnership to monetize a satellite image segmentation algorithm. Successfully bootstrapped, acquired IP, productionized the code, and landed customers. We profitably sold end-user licenses and source code to the private sector, academia, and government.Contracted by the State of California Air Resources Board to create the Emission Estimate System based on FOFEM 6.0. Integrated fuel loading estimation, emission calculations, and inventory mapping into a single GIS-based model. Delivered and re-awarded work for three generations of the product.Coded in Python, GDAL, Shapely, Rasterio, proj4, ArGIS arcpy, numpy, scipy, AWS, GCP

Industrial air permit consulting, forest fire emission inventories, computational model automationTime tracked and billed in 15-minute increments emphasizing productivity

Created GIS Wildfire Emission Estimation System for the California Air Resources Board.Remains in use today. Authored research proposals, technical reports, and peer reviewed journal publications.