Christian Armstrong

Christian Armstrong is a driven and highly skilled professional with a diverse background in data science, geospatial analysis, and business strategy. Currently pursuing a Bachelor of Science in Data Science with a concentration in Finance at the University of Houston-Downtown, Christian brings a robust technical skill set, complemented by hands-on experience in both public and private sectors.

Christian has honed expertise in machine learning, SQL, Python, R, geospatial analysis, database design, and exploratory data analysis, along with a strong foundation in product management, leadership, and public speaking. Certifications in Data Science (Python and R) and SQL Server Development further underscore his technical proficiency.

During his recent tenure as a Geospatial Analysis Intern with the Department of Defense, Christian innovatively contributed to an ERDC application by developing a preview window using ArcGIS layers. His role at TE Connectivity as a Cost Modeling Intern highlighted his analytical capabilities, from creating automated financial tools in Excel and Python to contributing to negotiations and client meetings.

Christian’s commitment to impactful data solutions is evident in his work at USA Triathlon and Data Justice Academy, where he optimized business operations, designed dashboards, built predictive analytic models, and mapped opioid treatment resources using advanced statistical techniques.

With a proactive approach to learning and problem-solving, Christian consistently demonstrates his ability to derive actionable insights, improve processes, and add value to any team.

Geospatial Analysis Intern, Department of Defense

• Developed a preview window for an ERDC application, utilizing ArcGIS layers for user-friendly map visualization.
• Gained certifications in ArcGIS and Esri-Leaflet.

• Automated financial tools using Excel macros and Python for efficient cost modeling and data analysis.
• Contributed to client negotiations and developed web scraping solutions for real-time metal price tracking.

• Designed dashboards and predictive models to optimize operations in pricing, sponsorships, and membership.
• Conducted data analysis using Tableau, Excel, and programming languages to support strategic initiatives.

• Analyzed opioid epidemic data using statistical models and visualizations in Python.
• Built a Dash app to showcase findings, including a map of Virginia's opioid treatment resources.

• Negotiate and close deals for wholesaler cannabis cultivators in Oregon.
• Attend industry events, and network to develop potential business opportunities.

• Manage 7 person team. 
• Improved processes by increases unit production from 300 units a day to 10,000 a day.

In last year at the University of Houston-Downtown with a major in data science. Pursuing a Master's in Smart Cities and Complex Systems.