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enockkosgei97

Enock K

@enockkosgei97

GIS Expert, Remote Sensing Specialist, Data Analyst, AI ML Specialist, Drone Pil

Kenia
Suajili, Inglés
Parte de la información aparece en idioma inglés.
Sobre mí
Hi, I'm Enock — a Geospatial & IT Specialist, Full-Stack Developer, and AI Systems Integrator from Kenya, with 5+ years of experience. My skills cover GIS & Remote Sensing (QGIS, ArcGIS, Google Earth Engine), Web Development (React.js, Django), AI Integration (chatbots, automation agents), databases (PostgreSQL, SQL), Cloud DevOps (AWS, Firebase, Vercel), and drone mapping (KCAA certified). I help organizations turn complex data into smart, scalable, and actionable solutions. Let's build something impactful together!... Lee más

Habilidades

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enockkosgei97
Enock K
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Revisa mis servicios

Sistemas de información geográfica (GIS)
I will provide gis and spatial analysis services
DeUSD 5 / proyectoMás información
Sistemas de información geográfica (GIS)
I will do google earth engine analysis, ndvi and remote sensing
DeUSD 10 / proyectoMás información

Porfolio

Experiencia laboral

AstraZeneca

GIS DATA ANALYST - IN '"EARTHTREE"- Funded BY AstraZeneca - a Partner Company

AstraZeneca • Tiempo completo

May 2024 - Oct 2025 • 1 yr 5 mos

Served as GIS Data Analyst at Earthtree (an AstraZeneca-partnered carbon afforestation initiative), supporting large-scale carbon project development across Kenya through advanced geospatial analysis and remote sensing. Key Achievements: Led land suitability assessments using LULC classification and slope analysis in QGIS and Google Earth Engine, providing critical spatial intelligence for carbon project site selection Designed and managed real-time spatial dashboards tracking afforestation progress, integrating carbon sequestration estimates aligned with Gold Standard certification protocols Built and scaled the internal GIS division from scratch to a team of 15+ professionals, establishing standardised workflows, pipelines, and geospatial delivery frameworks Operated drone systems (KCAA certified) for high-resolution terrain modelling, sapling monitoring, and change detection — significantly improving field accuracy Developed optimised farm layout models incorporating slope, shade analysis, and biodiversity zones to maximise carbon capture potential Automated MRV (Monitoring, Reporting & Verification) data capture and reporting workflows using Google Sheets and digital mobile tools, enabling seamless field-to-dashboard integration Tools used: QGIS, ArcGIS, Google Earth Engine, KoBoToolbox, Python, GPS/Garmin, Drone systems