Pulkit Parikh Email & Phone Number

Toronto, Ontario, Canada

Toronto, Ontario, Canada

Remote (from Toronto)

Working on a project undertaken for J.P. Morgan that involves analyzing legal documents through predictive modeling and information extraction. Some of the tasks taken up are regulation violation prediction, document segmentation through sentence classification, extractive question answering, and overlapping named entity recognition (NER). The methods used.

Worked on the problem of record matching. The existing approach used to identify records across data sets that belong to the same real-world company entity was rule-based. We explored developing a system involving a machine learning-based classifier.

Carried out attribute extraction for Bing. The aim of this work was the automatic extraction of attributes such as the address and the phone number from web pages, in an effort to enrich the entity data pool. On more than one market, the extractor was able to obtain data with good precision and recall.

Contributed to a camera-based traffic surveillance system, aimed at enhancing the enforcement of traffic laws, that automatically detects a variety of violations live.

Worked on the automatic removal of artifacts such as skew and frame in scanned document images.

Doctor Of Philosophy - Phd, Computer Science, 10/10

Specialized in applied machine learning and natural language processing (NLP). Proposed a deep learning framework for multi-label sexism.

Ms By Research, Computer Science, 9.42/10

Bachelor Of Engineering (B.E.), Information Technology