Benjamin Mwasambo

Data Scientist/Analyst

Biography

I am a Data Scientist and Analyst in Nairobi, Kenya, with five years of experience in providing data-driven business solutions and product development support. I have a bachelor’s in Forestry science and an on-going MSc in Geospatial Information Science and Remote sensing. My research focuses on vegetation change analysis using time-series Landsat(satellite) data and machine learning.

I have a keen interest in using data to provide solutions at the intersection of environment, finance, and economic development.

I am currently a Data Scientist at Blue Marble Microinsurance, previously worked as a Data Scientist at FarmDrive Limited and a GIS data analyst intern at Kenya Forest Service. I have technical skills of using R and SQL to analyze spatial and non-spatial datasets(see my projects), additional to GIS and Remote Sensing software.

Read more about my role on my resume or connect with me on LinkedIn.

Download my resumé.

Interests

Data Science
Geospatial Science
Remote Sensing
Business analytics

Education

MSc in Geospatial Information Science and Remote Sensing, 2021

Jomo Kenyatta University of Agriculture and Technology
BSc. in Forestry Sciences, 2015

University of Eldoret

Proffessional development

Data Scientist with R

DataCamp Dec 2018 – May 2019

See certificate

Recent Posts

Geo-location algorithm

Featured in FarmDrive’s geolocation algorithm for farmers.

FarmDrive

Last updated on Sep 2, 2020 0 min read GIS

Interface between R and Geodatabase(PostGIS)

SpatialPointsDataFrame and SpatialPolygonDataFrame stored in Geodatabase(postGIS) can be retrieved directly to R working environment and stored back to database without saving it to our local computers.

Benjamin Mwasambo

Last updated on Sep 2, 2020 2 min read R, Database

Interface between R and Geodatabase(PostGIS)

MtiCalc, the app that helps farmers bargain for their woodlot prices.

My interview with standard media on MtiCalc android app development.

Standard media

Last updated on Sep 2, 2020 0 min read

MtiCalc, the app that helps farmers bargain for their woodlot prices.

Time series market Price analysis for different agricultural commodities in Kenya

Understanding periodic trends of market prices for Agricultural value chain is important to producers,traders as well as consumers. Here are some insights of time series market analysis for selected agricultural commodities in Kenya.

Benjamin Mwasambo

Last updated on Sep 2, 2020 4 min read R

Time series market Price analysis for different agricultural commodities in Kenya

Projects

Clients location - Google map

Clients location and additional information displayed on google map.Click on the markers to see additional details as recorded in the dataset.

Crop monitoring using Earth Observation data

Monitoring of agricultural crops using biophysical variable,Leaf Area Index(LAI), from sentinel 2 data and regional soil moisture properties data from soil moisture and ocean salinity SMOS satellite. I was involved in this project with European Space Agency and VISTA GmbH exploring Food Security Thematic Exploitation Platform (FS-TEP)