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Kevin MuasaKM
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Kevin Muasa

@kevinmuasa

Geomatics and GIS graduate specializing in spatial data processing, remote sensing, and Python-driven analytics.

Kenya
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What I'm looking for

I’m looking for a role where I can validate and analyze spatial data, build reliable data workflows, and deliver clear GIS/remote sensing insights. I want to grow in Python-driven analytics while contributing to accurate, evidence-based decisions.

I’m a Geomatics Engineering graduate with hands-on experience in land surveying, GIS, and remote sensing through government institutions. My foundation in statistical methods, probability & inferential statistics, and spatial statistics shapes how I validate data and support evidence-based decisions.

In my ongoing internship at Survey of Kenya, I process and validate large spatial datasets to ensure accuracy and data integrity, run measurement consistency checks, and support analytical reporting of geospatial findings. At Kenya Urban Roads Authority (KURA), I applied sampling and measurement accuracy principles for cadastral and road reserve mapping, performed variance checks on field data, and organized structured datasets for technical evaluation and spatial reporting.

I combine Python-driven analytics with clear documentation, visualization, and technical communication to turn complex datasets into actionable insights. I’m especially focused on structured analysis, data cleaning and validation, and building reliable pipelines using GIS workflows and ETL fundamentals—so teams can trust the outputs and move faster.

Experience

Work history, roles, and key accomplishments

KK

Geospatial Survey Attaché

Kenya Urban Roads Authority (KURA)

Jan 2025 - Present (1 year 4 months)

Applied sampling and measurement accuracy principles in cadastral and road reserve mapping. Conducted quantitative variance checks and organized datasets to support analytical and spatial technical reporting.

Education

Degrees, certifications, and relevant coursework

MC

Master Data Analysis Short Course

Short Course, Data Analysis

2026 -

Activities and societies: Python (Pandas, NumPy, Matplotlib); EDA; Statistical testing & interpretation; SQL; Predictive analytics (foundational); ETL fundamentals; Data visualization (Power BI & Tableau); Advanced Excel for analysis.

Ongoing short course focused on Python-driven data analysis, exploratory data analysis, statistical testing, SQL querying, and predictive analytics foundations.

Jomo Kenyatta University of Agriculture and Technology logoJT

Jomo Kenyatta University of Agriculture and Technology

Bachelor of Science, Geomatics Engineering (Geospatial Information Systems)

2019 - 2025

Activities and societies: Relevant academic foundation: Statistical Methods; Probability & Inferential Statistics; Research Methods; Spatial Statistics.

B.Sc. in Geomatics Engineering (Geospatial Information Systems) covering spatial statistics, probability/inferential statistics, research methods, and statistical foundations.

Tech stack

Software and tools used professionally

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