Currently, I work at Honeywell, where I contribute in developing production ready ML models for products powered by Data Science. As part of the Data Science team, I promote best practices in Data Science development focusing on reducing the gap between experimentation and deployment.
I graduated from Northeastern University, with a Master's Degree in Computer Science specializing in Data Science and Artificial Intelligence.
I have a keen interest in research topics related to NLP and Deep Learning. I explain concepts to myself by coding the methods proposed in various research papers.
⚡ Fun fact: As an undergrad student I wanted to learn android development and also find time to learn it, so I built an app that planned my leaves in school to never show up on the low attendance radar
Checkout my entire portfolio at pavanchhatpar.github.io
Highlights
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copynet-tf
copynet-tf PublicCopyNet (Copy Mechanism in Seq2Seq) implementation with TensorFlow 2
Python 10
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sentence-splitter
sentence-splitter PublicFine tuning ELECTRA to break sentences into two parts when the discourse marker is missing
Jupyter Notebook 1
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aae-nn
aae-nn PublicThe precision of case difficulty and referral decisions: an innovative automated approach
Python
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question-generation
question-generation PublicQuestion generation - Master's Project course towards MSCS at Northeastern
Python
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GroupNo1-Vehicular-Traffic-Abatement
GroupNo1-Vehicular-Traffic-Abatement PublicForked from BE-PROJECTS2018/GroupNo1-Vehicular-Traffic-Abatement
Machine Learning and Data Mining based project to make a predictive model for real time vehicular traffic
Python
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csv-to-sql-converter
csv-to-sql-converter PublicA shell script that converts a csv file (Excel Sheet) to an SQL file that can be imported in a MySQL database
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