Nikasio Wahome | Data Analyst | Junior Data Scientist

Nikasio Wahome

Data Analyst | Junior Data Scientist

Based in Nairobi,Kenya

About

I work with data to uncover patterns, answer practical questions, and support evidence-based decisions. My background in Economics and Statistics informs my approach to data analysis, combining statistical reasoning with real-world context.

Skills

Projects

Savanna Guides

Savanna Guides is a travel guide platform focused on East African outdoor destinations, including national parks, hiking trails, and campsites. I worked on sourcing, structuring, and maintaining location-based datasets to support discovery, search, and content consistency across the platform.

One Farm

A platform that connects farmers directly to suppliers. Middle scale and small scale farmers in Kenya access farm inputs at exorbitant prices. Eliminating alot of middle men would help in reducing this prices.

Netfluenz

Netfluenz is a concept platform aimed at improving how brands identify and evaluate influencers. My work focused on exploring and structuring influencer-related data to support basic analysis and future matching logic.

Experience

2023- date

Data Analyst / Research analyst

East African Outdoors Data Project Collected and structured data on national parks, hiking trails, campsites, and accommodations across East Africa. Used Python scripts to clean, standardize, and validate multi-source datasets for consistency and reuse. Designed simple data models to support search, filtering, and categorization within a travel guide app. Performed exploratory data analysis to identify data gaps and quality issues.

Education

2021 - 2025

Bachelors in Economics and Statistics

University of Nairobi Built a strong foundation in econometrics, statistical analysis, and quantitative reasoning, with practical exposure to data interpretation and real-world economic problem-solving.

2023 - 2024

Data Science

ALX Data Science Completed an intensive, project-based program covering Python, data analysis, statistics, machine learning, SQL, and data visualization. Gained hands-on experience with real-world datasets and built end-to-end projects including exploratory data analysis, predictive modeling, and dashboards using tools like Pandas, NumPy, scikit-learn, PostgreSQL, and Power BI.