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  • ๐Ÿ‘‹ Hi There! I'm Ankitha, a Computer Science graduate student at Purdue University. I worked as an Associate in Data & Analytics at KPMG US for about 2 years on their advanced capabilities called Clara, an integrated system for ERPs along with building custom firm relevant NLP applications such as conversational bots and account mapping engines in collaboration with the KPMG Europe team.

I have also designed and developed NLP applications with a focus on social media and financial data. I have worked on areas of computer vision with a focus on the amalgamation of image processing , anomaly detection and video summarization which has been published as a patent. My area of research is speech and language understanding (SLU).

  • ๐Ÿ”ญ Iโ€™m currently working on ... My current active area of research is on, enchancing contextual reference in Automated Speech Recognition (ASR) engines.

I'm open to every new opportunity and learning. Would love to brainstorm and collaborate on research projects in similar backgrounds.

Ankitha Sudarshan's Projects

applied-ml icon applied-ml

๐Ÿ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

conformer icon conformer

PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)

document-automation icon document-automation

Code to automate the mundane task of filling in documents with similar data patterns.

linkedin-skill-assessments-quizzes icon linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2021 for skill assessments, LinkedIn test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, css, python, machine-learning, power-point) linkedin excel test lรถsungen, linkedin machine learning test

numpy icon numpy

The fundamental package for scientific computing with Python.

string-similarity icon string-similarity

This project aims to reduce string redundancy by utilizing some of the string similarity concepts of NLP .

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