Stellamaris Nakacwa Wavamunno's CV
Research Scientist
Focused on designing and modernizing data systems that support advanced analytics and machine learning, enabling institutions to govern, integrate, and transform complex digital systems. Creates technical approaches across the full data lifecycle - from system design and data strategy to infrastructure planning and model development & ployment. Specialialty in Geospatial Data Dealings.
Career Progression
Research Scientist
Leidos-NETL • 2025 - Present
Designs ML-powering data pipelines and NLP workflows for research analytics, combining statistical modeling with optimized data infrastructure.
Database Research Scientist
Leidos • 2023 - 2025
Built large-scale data integration systems and predictive analytics models to support regulatory and resource-focused decision-making.
Program Director (ESM)
YouthMappers • 2022 - 2023
Leds global geospatial data programs across 400+ institutions, combining AI strategy, technical infrastructure, and capacity building to scale analytics training and data generation in complex environments.
Geospatial Scientist
Early Career • 2017 - 2022
Developed geospatial data systems and open-source tools for community physical infrastructure and land governance, aligning technical design with legal, social, and global data standards.
Education
MSc. Computer Information Science (Scientific Computing)
Harrisburg University, PA • 2025
M.A. Geography & Geospatial Science
West Virginia University, WV • 2022
B.S. Geomatics & Land Management
Makerere University, Kampala • 2018
Selected Publications
PDF to Image Conversion for Enhanced NLP Processing
Medium Publication • April 2024
A comprehensive guide on preprocessing PDF documents for NLP tasks using Python and pdf2image library.
Read on Medium →Deep Learning for Predictive Analytics in Crop Classification
Journal of Data Science • 2024
Research on applying machine learning and computer visions to predict crop class outcomes and improve smallholder farm ML/AI approaches.
View Publication →Natural Language Processing for Oil & Gas Wells Research
2024 FECM / NETL Carbon Management Research • 2024
A system design and topic modeling for wellbore data using advanced NLP, ML/AI approaches.
View Presentation →Digital Mapping for Sustainable Development
Tech Conference Proceedings • 2021
A study of how university-led mapping initiatives support the SDGs through open geospatial data creation, community engagement, and hybrid digital-humanitarian workflows.
View Publication →Stella's Impact
Everywhere She Maps: Empowering Youth for Global Challenges
A YouthMappers program empowering women and underrepresented communities to create and leverage geospatial data for solving real-world challenges, with significant contributions to Sustainable Development Goals.
Mapping Uganda's Border Towns During COVID-19
Led mapping efforts through MapUganda to support COVID-19 response by mapping border entry points and critical infrastructure, providing essential data for pandemic management and resource allocation.
Spotlight Kampala: Mapping Energy Access
A multi-institutional research collaboration addressing energy inequities in Kampala's informal settlements, using mapping to document energy infrastructure and access patterns.
Nourishing FAS Satellite Data with Grassroots Truth
Contributing to agricultural development by bridging the gap between satellite data and on-the-ground realities, empowering young leaders in agriculture with data-driven insights.
Get In Touch
Interested in working together or have questions? Send me a message!
Prefer email?
Reach out directly at contact@stellaspace.com