● Requirement Analysis: Understanding the requirements and communicating with BA team for better understanding of the requirements. ● Responsible for testing deliverable, prioritizes and monitors activities to meet such dates for individual assigned features. ● Identified End to End Test Scenarios, Test Cases and Test Data. ● Writing effective and optimized Test Cases in JIRA tool using Black Box Testing techniques. ● Execution of test cases one by one. ● Identification of defects, registering them in JIRA and reporting them to the onsite lead.  Performing Functional Testing, Regression Testing and Re-Testing. ● Validation of Expected output vs. Actual Output in respective to requirements. ● Preparing required document for other team members. ● Actively part of User Acceptance Testing (UAT).

Since 2006 Orange HRM has been researching and working on a way to produce a cost effective system to re-engineer your HR process. This application should have highly user friendly interface with many features. The modules should be as given below: · Personal Information Module (PIM) · Employee Self Service (ESS) · Login page

: Extracted data from multiple invoices using Microsoft OCR and Regular Expression in UiPath Re Framework and stored it to an excel file. For this purpose Dispatcher and Performer was created using Re Framework. Dispatcher was used to dispatch invoice file paths to Orchestrator Queue. Performer was used to get file paths from the queue, extract relevant data using OCR and Regular Expression, and further this data was stored to an excel report file.

: Extracted price of products from various Dermalogica websites using UiPath tool and store it to an Excel file. Dispatcher was used to dispatch product list for every website to the Orchestrator Queue. Performer was used to extract data from dynamic web pages using selectors and store the required details to a report.

The Objective of the Project is to Extract data from 58 invoices with 9 different formats with same fields. In dispatcher the Path of the files is to be sent to the Queue formed and, in the performer, we get the path and then Digitization, classification and extraction is done one after the another and the ML extractor is also trained within the performer whenever the confidence of the extracted values is less than 70% and after all that the extracted information is saved in an excel file.