Ahmed Olanrewaju commented on Twitter:
At the end of the workshop, delegates were given the opportunity to participate in a data challenge competition to find innovative ideas around the use of gridded population data in Nigeria – Watch this space for the results.
GRID3 is committed to mapping a path to sustainable development for everyone. The AI Bootcamp proved to be a unique opportunity to meet many data enthusiasts eager to learn new skills and integrate new data and methods into their work.
Only a few weeks later, former Bootcamp participant Victor Irekponor and his team, won a data hackathon, integrating new GIS skills from GRID3 training. Read his testimonial below:
Friday, 29th Nov – Sunday, 1st Dec 2019 was spent with my team at the data hackathon organised by the African FIntech Foundry Powered by Access Bank Plc.
My team was tasked with developing a machine learning model that significantly reduces Non-Performing Loans for individuals and also an alternate credit scoring model based on the customer’s historical and transactional behaviour.
Unlike other teams, we shifted our main focus from just building a machine learning model to providing implementable and actionable business insights. Geospatial analysis added significant value to our presentation, and was likely the reason that we won. Many thanks to GRID3, as they introduced us to the concepts behind geospatial analysis at the DSN Bootcamp held 18th – 24th Nov 2019.
We reverse geocoded the addresses of the Access Bank customers given to us in the dataset, to get the points in latitude and longitude, which we then plotted on the map of Nigeria to show Access Bank executives where exactly their defaulting customers are clustered at both national and regional levels, as well as their distribution.
This was one of our key selling points. In the end, my team emerged First Place Winner at the Hackathon. We were the only team that utilised the strengths of geospatial analysis.