π Love to work at intersection of consumer data & machine learning to build and deploy ML systems that help customers.
π± Currently learning how to make machine learning work in the real world.
π― Looking to collaborate in building consensus on modelsβ implementation for developing optimal methodologies.
π― Partnered with industry in multiple projects, leveraging NLP & ML to generate actionable insights and product ideas for stakeholders.
Help manifest approachable technologies to everyone in all forms of life, self-organizing transportation with optimized supply chains.
Published a python library "DataButler"in PyPi, used for automating data profiling and data cataloging process.