Jedydah A. Owino

GIS & Data Specialist | M&E | Project Management | Climate Resilience

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About Me

Results-driven GIS and Data Analyst with 12+ years of experience leveraging spatial analytics, remote sensing, and data visualization to solve complex challenges across urban planning, public health, climate resilience, and international development.

I’ve led cross-functional teams and supported multi-country donor-funded programs (World Bank, Mastercard Foundation, FCDO, Save the Children) across Kenya, Nigeria, Uganda, Mozambique, and Madagascar.

My work has been instrumental in improving data governance, Monitoring & Evaluation (M&E) systems, and evidence-based decision-making through actionable insights derived from over 300,000 records.

Key Skills

Data Systems & M&E

  • M&E Systems Development
  • Data Governance & Policy
  • SQL (PostgreSQL/PostGIS)
  • Power BI, Tableau (Data Viz)

Geospatial & Remote Sensing

  • GIS (ArcGIS Pro, QGIS, GEE)
  • Remote Sensing (Sentinel, Landsat, UAV)
  • Data Collection (KoBoToolbox, ODK)
  • Python (pandas, geopandas)

Project Leadership & Policy

  • Project Management (MS Project, Asana)
  • Training & Capacity Building
  • Quality Assurance & Data Audits
  • Climate & Sustainability Research

Featured Projects

Jiinue Growth Program MIS

Spearheaded the adoption of a PostgreSQL-based Management Information System (JMIS), developing visualizations to support decision-making and maintaining the overall data management. Led migration of 300,000+ records from disparate Excel files, streamlining M&E reporting for 7+ partner organizations while ensuring data integrity and timely donor compliance.

Jiinue Growth Program MIS Screenshot Image Source: J. Owino
Catchment and Land Use Analysis

the spatial distribution of three major hydrological systems—the Lokok, Lokere, and Awoja Catchments—and their respective sub-catchments. It overlays this hydrological framework with current Land Use data, revealing distinct regional characteristics: Northern Catchments (Lokok/Lokere): Dominated by Trees, Shrubs, and Grassland, indicating semi-arid, mountainous, or grazing areas, which are critical for headwater protection. Southern Catchment (Awoja): Characterized by extensive Cropland and vast, connected Wetlands, signifying intensive agriculture and large floodplain ecosystems. The analysis is crucial for managing water resources, mitigating flood risks, and addressing the impact of agricultural runoff on the region's vital wetland systems that drain toward Lake Kyoga..

Automated Power BI Dashboard Screenshot Image Source: J. Owino
Multi-Criteria Suitability Analysis

Conducted a Weighted Overlay Analysis (MCE) for intersection of child-care, poverty and climate effect in Madagascar, focusing on Atsimo-Andrefana, Androy, and Anosy regions. The analysis revealed areas of very high suitability (red/orange) in Atsimo-Andrefana and Androy, while Anosy presented a mixed profile, providing crucial spatial intelligence for targeted interventions.

Multi-Criteria Suitability Catchment Map Image Source: J. Owino
Urban Development & Digital Mapping Consultancy

Led large-scale urban development and digital mapping initiatives across seven Kenyan counties (Meru, Samburu, Siaya, Kisumu, Machakos, Nyamira, Makueni). The core focus was preparing Integrated Strategic Urban Development Plans (ISUDPs) and Local Physical Development Plans (LPDPs) for sustainable planning and informal settlement upgrading.

conducted reconnaissance, base map preparation, and socio-economic data analysis, using GIS and spatial modeling to design key sectoral improvement plans (transport, housing, environment). This provided county governments with robust, data-driven planning tools to enhance urban management and climate-resilient strategies.

Urban Development Planning Map of Kenyan County Image Source: J. Owino
Lismore City Flood Extent Analysis

Conducted a critical flood extent analysis of the devastating 2022 Lismore floods. The project leveraged Sentinel-1 Synthetic Aperture Radar (SAR) imagery and high-resolution Digital Elevation Model (DEM)data, executed within the Google Earth Engine (GEE) cloud computing platform.

The primary objective was to accurately map inundated areas, which facilitated the identification of affected urban, residential, and agricultural zones. Final flood extent maps and geospatial data were processed and visualized in QGIS to support immediate post-disaster assessment, long-term resilience planning, and future flood mitigation strategies for Lismore City.

Digital flood extent map of Lismore City Image Source: J. Owino

Education & Awards

Academic History

MSc Project Management (Ongoing) – JKUAT, Kenya (Expected 2025)
BTech, Geo-information Technology – Technical University of Kenya, 2019
Diploma, Geo-informatics – TUK, 2012

Recognition

Awards: Climate Governance & Diplomacy Fellow (2024), Women for Africa Canarias Scholar (2022), Learn Africa Scholar (2024).

Publications & Speaking

Publications

Speaking Engagements

Get In Touch

I look forward to discussing how my GIS and data expertise can support your next project.

Quick Links

Email: jedydahowino@gmail.com

LinkedIn: Connect on LinkedIn

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