Job Profile |
• Implemented LDA with Apache Spark on unstructured tickets data to generate topics. Used same model to predict belonging topic of given description for a new ticket.
• Implemented CNN model for Optical Character Recognition on Chars74K image dateset of handwritten alphanumeric characters. Achieved 85% accuracy on handwritten documents.
• Performed data cleansing on text data to extract relevant information using python. Indexed data with Apache Solr to find similar documents for given event description to automate issue-resolution process.
• Developed chrome extension for web browser automation with record and play features. Also contributed in development of Robotic Desktop Automation Application in python.
• Query language development with intelligent suggestion using Javascript to build event and ticket routing policies. |