Image recognition system for identifying litter across the world.

We are building out the global database for litter. A first of its kind. As the in-house data scientist, I identify, scope out and build data science projects. Some of these include data analysis and visualization tools (internal and external customers), designing machine and deep learning models for image recognition, and geospatial data for litter. This talk will share the journey, lessons learned, challenges, accomplishments in building the deep learning model for this company's product. Litterati's data science strategy, algorithms and approaches have made it an AI driven company - that is transforming how major brands and cities do business. The audience for this talk are data scientists, entrepreneurs, and folks in the industry driving to make a transformation. Litterati has been featured on CNN, National Geographic, Fast Company, Kickstarter, National Science Foundation, TED Talks, Mashable, San Francisco Chronicle, and Time Magazine amongst other companies.

I am a Data Scientist who wants to marry business analytics with predictive modeling techniques. I have a Masters in Electrical Engineering and a Masters in Data Science. Later I developed business skills through a dual role of technical program management and L&D, in a tech startup. I grew with the startup from 10 to 2000 employees worldwide. The company grew through 27 M&A's in 7 years. Currently I am a data scientist at Litterati building the world's first database for litter.