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The COVID crisis has forced public transport to completely shut down. And has impacted livelihoods. I started exploring how to enable public transport to function in an effective way and at the same time minimize the spread of the virus due to its operation. And, i built this data science tool that uses SIR epidemic model that tries to balance urban mobility and COVID spread, and provides insights on the routes that can be operated
COVID and urban Travel is a difficult cat to bell. And, data science can help perform 'what-if' analysis, and help public transporters to make informed decisions. And, especially when urban mobility is required to resume livelihoods, such a tool may be of help. My 'Bell-The-CAT' tool tries to do this using standard epidemic models for Bengaluru, by leveraging data from BMTC and BBMP
I plan to use Data Science more effectively And solve more problems like the covid crisis now
Plan to refine the model to SEIR or SEIRD with more accurate data
Be it data science or programming skills, I wish to improve
and develop new skills
I have obtained proffesional certifications from IBM and Google
I want to contribute on my part by publishing articles
or publishing public projects on my github
My Medium Articles
My Github