ERNST AND YOUNG LLP
EY Tax Alwin team
Chicago, IL

Job Role:

• Leading the AI Tax team, building Machine Learning solutions for various clients in EY, both independently and in a supervisory role, and leading the Staff Data Scientists on my team. Helped clients save Millions in Tax Returns and reduce the workload as well as the manpower needed by introducing and implementing novel ML solutions for Tax related problems. Actively involved in identifying use- cases, handling communications with clients, strategizing for client-specific solutions, and presenting findings from experimentation using A/B testing.

• Developing an end-to-end machine learning solution for a property tax use case focused on getting peer sets for assessing the net worth of property better through clustering.

• Designing an anomaly detection system to detect and extract any tax exemption qualified entities in RD credit solutions by scraping unstructured data from the IRS website to categorize clients' tax data into official tax categories.

• Designing and implementing Tax chatbots using BERT.

• Conducted research and experimentations on building a deep learning framework to extract domain-specific vectors or building a

  classification model, building customer NER models for extracting dates that don't have a set pattern.

• Leading the initiative of creating the Alwin Toolkit process – panning out the overall architecture, executing, and optimizing code to make our approach to the ML problems efficient and robust, in terms of resources and streamlining the entire process using Azure DevOps

  and Python.

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