Team Details

Gabriel Macharia

Data Management Officer AATF

Gabriel Macharia is a dedicated Data Management Officer at the African Agricultural Technology Foundation (AATF) who bears a strong passion for turning data into actionable insights. He is deeply involved in managing and standardizing data for various research projects across the African continent. Gabriel also mentors agritech start-ups, helping them leverage data to drive sustainable innovations.

Before his role at AATF, Gabriel honed his skills as a Senior Python Developer at Trendy Gadgets Company Ltd, where he led significant projects that optimized data systems and improved overall efficiency. His experience as a Data Scientist and Administrator at Data Glacier in South Korea allowed him to develop automated models that boosted marketing performance and provided clients with valuable insights.

Gabriel’s journey also took him to Strabag International GmbH in Cologne, where he worked as a Data Scientist and IT Officer. There, he developed and scaled machine learning models that enhanced productivity and provided the company with crucial data-driven strategies. His earlier experience as an Administrator and Information Analyst at Brade Gate International College was equally impactful, as he built data systems from scratch and implemented strategies that improved customer engagement.

Academically, Gabriel holds an MSc in Biomathematics from Strathmore University and he earned his BSc in Mathematics and Computer Science from Kirinyaga University, with a focus on computer science and the application of mathematics in technology. Additionally, Gabriel is certified in Networking (CCNA) from Kenyatta University, specializing in the configuration and management of network systems.

Bronze Package

Property owners and tenants can claim and track their property to monitor the estimated value and learn about recent sales for similar properties. By understanding your relationship to the property, we can tailor what we show and send you to make it more relevant to your situation. 

There is no limit to the number of properties you can track. Once you have tracked a property you will be able to track additional properties, make changes to your property relationship and change your primary property.

Price estimates are calculated by PropTrack Australia by looking at multiple properties and local market data points, which together can provide insight into the approximate value of a property. The data that informs the estimate range includes property and local market data including: Property types, Recent sales & local price trends, and Land area. To learn more about privacy and Property Value pages.

The Australian arm of PropTrack was acquired by REA Group In May 2018. A combination of unique data, industry expertise and analytical precision has made PropTrack a trusted leader in property data and automated valuations. From November 2018, PropTrack has been providing REA with most of the property insights used in consumer and customer experiences. More information about PropTrack is available on their website.

A combination of unique data, industry expertise and analytical precision has made PropTrack a trusted leader in property data and automated valuations. From November 2018, PropTrack has been providing REA with most of the property insights used in consumer and customer experiences. More information about PropTrack is available on their website.