My most recent experience was a placement with Zsah Ltd, a company with an emerging geospatial team. As part of the placement, I've looked at topics such as accessibility modelling for Royal Mail Delivery offices, custom network building with OSM, scalable routing algorithms and naive rush-hour time estimation. The placement helped me understand what kind of problems a third-sector company faces and allowed me to gain some experience with the geospatial data infrastructure.

Winning the Bristol Open Data project pitch, my team works on interactive solar potential map. Combining LIDAR data with geodemographics will help us to measure solar potential on multiple scales, from detailed picture for every roof to overall picture for wards areas.

As part of the Digital Insight team, I have had a chance to collaborate on several Highways projects, providing GIS data management support and data analysis. My major contribution, however, has been as data science support to ‘Predictive Pollution Support’ project for one of the clients. I have developed a model that can identify locations with a higher risk of a pollution incident on sewage, which helped the client to redistribute their resources more effectively. This has been an extremely valuable experience and helped me to understand the real problems that engineering companies face on everyday bases.

Through CDRC, I worked on a Research project for a Boots UK. The study investigates the relationship between GP's and pharmacies through spatial interaction modelling and looks at the possibilities of prediction patients flow.