- π Hi, Iβm Julius Mwangi.
- π± Iβm currently ranked as the top data scientist in Kenya and position 5 out of 70000+ data scientists on Zindi platform.
- π¬I have worked on problems in domains such as in Natural Language Processing, Computer Vision and Timeseries and delivered great solutions.
- β¨The most exciting solution was featured as the best solution from a student in the COP28 2023 summit in Dubai-check first pinned repo, on energy consumption modelling
- πFor more work I have done, you can check my certificate here: https://zindi.africa/users/JuliusFx/competitions/certificate
- β‘ I'm open to work and also collaborate on projects. I have previously collaborated with ITU-5G CHALLENGE and ITU-GeoAI-Challenge in writing technical reports to various problem statements
- π¬ You can contact me through email: π§ [email protected]
juliusfx131 / geoai-challenge-for-air-pollution-susceptibility-mapping Goto Github PK
View Code? Open in Web Editor NEWThis project forked from itu-geoai-challenge/geoai-challenge-for-air-pollution-susceptibility-mapping
This problem statement focused on building machine learning models that would assist create city-level air pollution susceptibility maps with a 5-meter spatial resolution for milan city in Italy. This city has unique challenges of dealing with pollution levels due to its unique topographic features.
Home Page: https://zindi.africa/competitions/geoai-challenge-for-air-pollution-susceptibility-mapping