San Francisco, California, United States
Senior Data Scientist, Digital Platform and Experience
I am a passionate (and somewhat hyperactive) Data Scientist and I absolutely enjoy helping organizations create a net benefit for Earthlings with the power of Data and Anime on my side
I am a Data Scientist at Autodesk's Digital Platform and Experience group. My job is to help our customers get to the correct answers to their problems by developing predictive/descriptive statistical models of the natural language of customer queries, and analyzing behavioral patterns of our customers on Autodesk's digital platform. Prior to joining Autodesk in 2019, I was graduate student at the University of Illinois at Urbana-Champaign. I did my Master's degree in Advanced Analytics (focusing in ML and non-linear optimization) and have written a thesis on state-of-the-art deep learning architectures, specifically, Capsule Networks.
In addition to Autodesk, I have worked with multiple social good ventures as a data professional. Notably, I worked with a Chicago-based healthcare start-up, Inference Analytics, to enable automated radiology reporting and inference using text summarization techniques and deep learning. More recently (in an Autodesk Pro-Bono Project), I worked with some of my talented colleagues to help a social start-up, Yuno, match profiles of under-employed workers with online job postings (in their words, to create a LinkedIn for the linked-OUT!)
Area of Expertise: Natural Language Processing, Deep Learning, Data Analysis and Exploration, Data Visualization, Data Pipelines
Technologies: Python, SQL, Pytorch, AWS Sagemaker, Spark, Presto, R
English, Hindi, Bengali
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