Inception is a tool used to annotate data. I am involved in automating the data extraction, implementing the data pipeline for data extraction, data storage and data availability for Model Development.

The Schneider Doc Processor is based on NLP, OCR. We have used the ML model to process the documents. Working on to improve the overall extraction and recall using rule-based approach.

The Intelligent Doc Processor is based on computer vision, OCR. We have used the ML model to process the invoices and used a simple document processor (SDP) to improve the overall extraction and recall.

I was primarily part of production support and maintenance team. Our team was
responsible for enhancing, supporting and maintaining the existing functionalities in RentalMan
application. I have also worked on development works whenever I was assigned to it

RentalMan was developed by WYNNE SYSTEM INC. I have worked on backend development, production support and maintenance. I had worked on enhancing, supporting and maintaining the existing functionalities in the RentalMan application.

With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.

Problem: Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have given a problem to identify the customers segments, those are eligible for loan amount so that they can specifically target these customers.