I am experienced data scientist delivered groundbreaking solutions in healthcare, telecom and other sector clients. I have gained expertise in Natural Language Processing, Computer Vision and predictive modelling using deep learning, machine learning and data science tools. I will be able to deliver required AI/ML solutions in more optimized and efficient way.
Building up binary text classification model using Bert transformers to classify whether ICD code status is either accepted or rejected for specific disease area on basis text extracted from Medical Documents.
Building up Document Classifier using YOLO object detection model to detect ‘electronically sign’ text from given compressed documents to classify document page.
Building up image classification model using VGG16, RESNET to classify given image into classes of Table, Handwritten and EKG.
Data Science Engineer
Jan 2020 - Sep 2021 (1 year, 8 months)
Multi-label Text Classification of chat/call conversation using unsupervised Clustering algorithm to identify customer’s intent behind interaction with agent.
Building up Sentiment Prediction model with Machine Learning Algorithms which can classify survey feedback text into relevant sentiment of Positive, Negative or Neutral.
Entity extraction from conversational data using NLP parsers to extract Payment/Billing specific phrases.
May 2018 - Dec 2019 (1 year, 7 months)
Building up field detection model to detect different sections of insurance claim details of every document using faster R-CNN followed by text detection and recognition for every field using text segmentation and OCR tool.
Developing Resume parser to Extract text data from PDF form of resumes using OCR. Segmentation of resume details like Technical skills, Academic details, Work history and personal information using Advanced NLP tools.
Table data extraction from Bank statements PDF documents.
Savitribai Phule Pune University, India 2012 - 2016