Marqeta is rewriting the rules for what’s possible with payment cards. With the most advanced infrastructure and tools for building highly configurable payment cards, Marqeta’s open API platform is designed for developers who want a simplified way of managing payment programs so they can create world-class experiences, innovate, and power new modes of commerce.

• Developed SQL and Python scripts for enhancing and scaling ETL pipelines, including building the entire structure for Entytle’s handling and validation of international data. • Provided regular and ad hoc data analysis and reporting as the ‘Master’ of client data within Entytle.• Built custom dashboards in Looker for both internal and external client KPIs, including a ‘Monday Morning’ dashboard, Quarterly Performance dashboard, and Sales Leaderboard, generating several new business products• Managed software implementation and onboarding for 3-4 concurrent enterprise clients, decreasing deployment timeline by over 2 months• Served as an internal customer advocate within Entytle, prioritizing tickets and pushing effective communication between external customers, Product, and Engineering • Collaborated with Data Science to conduct deep data dives using hierarchical clustering and linear regression to identify and highlight business opportunities for our clients

Data Analyst / Scientist applying machine learning to identify deforestation trends and climate change impacts for consulting projects around the developing world. • Deployed Random Forest models on satellite imagery to classify land-use and climate change for conservation projects in Congo, Myanmar, Panama, and Malawi• Partnered with Engineering to build and scale satellite imagery and GIS ETL pipeline, including developing scripts to automate GIS and remote sensing data operations. Conducted massive overhaul/cleansing of legacy production code to fix errors and improve efficiency.• Applied logistic regression to model land use change and deforestation. Designed algorithms in Python to produce actionable business plans. Created pipelines and Python tools for automating geo-data ETL. • Implemented GIS optimization models to analyze sustainable cacao production in the Northern Congo Basin• Project Manager for over $300,000 in budget across global consulting projects, ensuring projects completed on-time, under-budget, and with successful deliverables. Managed and trained on-the-ground work of teams of researchers to collect field data in remote tropical settings.• Drove successful, effective communication (in English and Spanish) and project execution between stakeholders as diverse as UN officials, high-level government officials, local indigenous villagers and farmers, and external consultants

- Led data wrangling, analysis, and GIS visualization for a remotely-sensed habitat classification project on 12 U.S. Marine Corps installations.- Developed iterative, multi-criteria GIS prioritization analysis to optimize conservation easement acquisition for Beale Air Force Base. - Designed Leaflet web-maps with custom styling using Mapbox Studio - Produced high-quality data visualizations and cartographic deliverables for external clients- QA/QC for map and data products - Spatial data creation using market research and literature review - Relational database management with ArcServer and MS Access

Simulated wind and weather influence on wildfire behavior in Glacier National Park on NASA’s Pleiades supercomputer. Led sensitivity testing and performance analysis of FORTRAN fire-weather feedback models. Developed Python toolkits and addons for ArcMap to automate data processing of satellite imagery and vector files.

- Surveyed and monitored transects for threatened Brodeia filifolia flowers on Camp Pendleton. - Identified native flora, prepared field transects, and collected high-precision geospatial data for analysis using a Trimble GeoHX device.