Jun 2023 – Jul 2025 · 2 yrs 1 mo · Seattle, Washington, United States · Remote

• Organized 10 regional meetups (100–200 attendance per event)
• Drove over 300% increase in product registrations and achieved 43% activation rate, with <10 min time-to-value.
• Built onboarding flows and Developer Center from scratch in collaboration with UX, PM, and Design teams.
• Created telemetry platform (Amplitude, Segment, BigQuery) to monitor onboarding, retention, and activation.
• Built ML models and analytics dashboards to understand developer behavior and marketing performance.
• Captured developer intent across GitHub, Slack, forums, and events to guide marketing and roadmap priorities.
• Led DevRel team producing blogs, videos, and tutorials, with 10x increase in monthly organic views and high conversion to registration and activation.
• Directed SEO, paid media, and ad campaigns to drive acquisition aligned with PLG funnel performance.

Feb 2022 – Jun 2023 · 1 yr 4 mos · Remote

• Led a team of analytics experts to evangelize the usage and adoption of TIBCO Spotfire
• Published weekly tutorial video tips on YouTube and 5x increased subscriber growth
• Hosted monthly "Deep Dive" live webinars on advanced analytics and AI/ML topics
• Participated in multiple Analyst Reviews with Gartner and Forrester
• Keynote speaker at TAF virtual conferences
• Led innovation in the areas of Python, R, data literacy, and custom visualizations
• Product Advisory Group member contributing to direction of Spotfire Product development

Mar 2019 – Feb 2022 · 2 yrs 11 mos · Remote

• Developed a comprehensive "Spotfire Enablement Hub" with 1MM+ YouTube views teaching the use and adoption of TIBCO Spotfire (https://bit.ly/3BOflNP)
• Developed Center of Excellence strategies to improve adoption of Spotfire, complete with cheatsheets, competency matrices, and analytics training guides
• Led 2 Gartner Bakeoffs and 1 Forrester Bakeoff in the Analytics and BI space
• Co-developed AutoML capablility using TIBCO Data Science and Spotfire (https://bit.ly/3p3r03s)
• Responsible for over 30 publicly hosted Sales Demos (https://bit.ly/3QelEys)
• 4x Keynote Speaker and 3x Hackthon Creator
• Co-developed innovations in: Anomaly Detection, Model Explainability, Geospatial Analytics, Pattern Recognition, Risk Management, and Dynamic Pricing
• Led the TIBCO COVID-19 Analytics Response effort with technical applications in forecasting, spatial generalization, data smoothing, and data integration (https://www.tibco.com/covid19)

Jul 2017 – Feb 2019 · 1 yr 7 mos · Remote

• Helping analytics teams across all industries solve high-impact, data-driven problems
• Worked directly with customers to set up Centers of Excellence and establish best practices for analytics adoption in the spaces of data visualization, governance, and AI/ML
• Addressed high priority escalations on key accounts
• Nurtured growth for new and existing analytics practitioners

Dec 2016 – Jul 2017 · 7 mos

• Introduced Streaming Analytics and IIoT applications for intelligent heavy equipment monitoring and predictive maintenance
• Developed multiple GIS, R, SQL, OSI PI, and DataViz solutions for engineering analysis
• Used Spotfire, SQL Spatial, and R to provide high-accuracy pipeline leak modeling
• First Engineer to work within the IT Department in order to help facilitate data-driven solutions in engineering problems; helped evangelize Big Data integration and OLAP data solutions
• Identifying core business data, data disconnects, silo'd data, silo'd business processes for better organization-wide data governance
• Helped support and facilitate a central framework and web application for Engineering CAD drawings across multiple assets and historic acquisitions
• Indexed Windows file structures using batch scripting and provided business unit with front-end search application
• Utilized KANBAN and SCRUM project management strategies
• SKILLS:
• Master Data Management (MDM), Data Lake, Streaming Analytics, Predictive Analytics, SQL (Oracle and Microsoft SQL Server), R, .NET (JavaScript, C#, HTML), Statistics, Network Theory, Data Structures, Algorithms, DataViz, IIoT, Databases

Oct 2015 – Dec 2016 · 1 yr 2 mos

• Primarily, my role involved integrating data structures and streamlining automation, reporting, and analytics. As an Integrity Engineer, I also analyzed multiple physical threats to Enterprise's assets including pipeline metal loss, corrosion, weld failures, deformation, cracking, and a variety of other factors.
• During my time in this role, I automated data collection of a major process eliminating the need for $200k in external contracting. Additionally, I reportedly saved the company over 3000 hours of repeated annual labor by creating tools that eliminated the need for manual reporting and data collection. During the latter part of this position, I led an effort to create an environment for intelligent streaming analytics using Spotfire and R with GIS geodatabases, OSIsoft PI system (IIoT), and SQL databases.
• SKILLS:
• R, VBA, SQL, Excel, Access, Spotfire, SharePoint, .NET, dotNET, HTML, CSS, AngularJS, JavaScript, Material Science, Records Management, Corrosion Analysis, Mechanical Integrity, Regulations (CFR 195 & CFR 192)

Jun 2015 – Oct 2015 · 4 mos

• Worked on DCS/SIS controls system upgrade from AO/DO to full DO at a 145 MBPD NGL fractionation plant
• Partially reverse-engineered a PLC for a NGL pump station

Jul 2014 – Jun 2015 · 11 mos

• Simulated gas condensate stabilizer equipment to assess a $2.15bn acquisition
• Used HYSYS and ProMax Process Simulations to optimize amine consumption in gas treating processes
• Used API Std 520 & 521 to prepare 5 propane loading/unloading facilities for PSM Audits

May 2013 – Aug 2013 · 3 mos · Houston, TX

• Independently created automated performance analysis tools for NGL pump stations using VBA coding; initiated database implementation for future optimization (reduced 80 hour process to 15 minutes)
• Simulated basic hydraulic models for both crude oil and NGL pipelines
• Conducted pressure loss studies for a 450 MBPD pump station
• Completed a critical hydraulic study of a pipeline following a major crisis

Apr 2013 – May 2014 · 1 yr 1 mo · Lubbock, TX

• Worked under Dr. Jahan Rasty to investigate the "Environmental and UV degradation of polymeric fabrics."
• Specific Tasks:
• Led research developments
• Collaborated with Dr. Lefer of the University of Houston and Patrick Disterhoft of the NOAA
• Constructed apparatus and assembled weather monitoring equipment for 14 months
• Used tensile testing equipment to evaluate strength degradation of polymeric fabrics due to environmental exposure over time

May 2012 – Jan 2014 · 1 yr 8 mos · Lubbock, Texas

• Self-employed as a private tutor. Worked with undergraduate students providing instruction for MATLAB, Solid Mechanics, and Physics.

Mar 2012 – Jan 2013 · 10 mos · Lubbock, Texas

• Part- and full-time employment as an engineering technician where my responsibilities were split across CAD-based design using Inventor; statistical analysis using Excel; hands-on experiment development and procedures; and machining designed prototype parts in a machine shop.
• Specific Tasks:
• Used Autodesk Inventor to co-design a large-scale "Cotton Seed Delinter" prototype with another student
• Designed and headed research experiments comparing various hydromulch substrates using a proprietary gantry spray system, controlled by VFDs and varied pump flow rates
• Machined prototype parts using various equipment including but not limited to: waterjet, plasma table, band saw, mill, and welder
• Collaborated with researcher at other institutions to investigate mechanical integrity and physical degradation of blended fiberboards
• Developed basic SOPs for several procedures as well as operated, maintained, and repaired varioius equipment

Jun 2010 – Aug 2011 · 1 yr 2 mos · Austin, Texas Area

• MCNP, VisEd, Autodesk Inventor
• Specific Tasks:
• Assisted researching professors with the development of a Super-X Divertor (SXD) Reactor to eliminate transuranic wastes via a Compact Fusion Neutron Source (CFNS)
• Redesigned SXD Reactor geometry several times by transcoding FORTRAN based MCNP (Monte Carlo Neutron Particle) programming language to 3D CAD models
• Models presented at Blue Ribbon Commission on America’s Nuclear Future and other conferences.