• Gathered requirements to read and process invoices for accurate data entry into the ERP tool INFOR-LN, ensuring seamless integration, enhanced data accuracy, and improved operational efficiency and financial tracking• Designed and implemented automation workflows to process both structured and unstructured data from PDF, Word, and text files, ensuring accurate and timely data entry into INFOR-LN•Successfully extracted and handled complex data from PDFs ,Word documents ,and text files using UiPath OCR, improving the quality and precision of data input• Leveraged UiPath Action Bot to automate data entry into the ERP system, reducing manual work and minimizing errors in the data processing workflow• Achieved a 30% reduction in data entry time by automating the data extraction and input processes, which significantly streamlined operations in INFOR-LN• Conducted thorough testing and validation of the automated workflows to ensure error-free processing of financial documents, maintaining high data integrity• Trained end users on the UiPath automation workflow, ensuring smooth adoption and enhancing team efficiency in handling large volumes of financial data

• Developed an Image Processing Bot using UiPath that integrated Optical Character Recognition (OCR) and Computer Vision (CV) technologies to automate text extraction from images, significantly reducing manual effort and improving processing speed• Achieved a 60% reduction in processing time and increased overall efficiency by 20%, leading to substantial productivity gains and improved data accuracy in handling various formats• Gathered project requirements and broke down tasks into sub-projects, designing detailed workflows to automate business use cases Feb 2024 May 2018 across various functions using RPA tools such as UiPath and Automation Anywhere• Collected, cleaned, and manipulated data from various sources, automating complex processes like timesheet non-compliance, HR onboarding, INFOR-LN processes, and INFOR-LN patch updates, reducing manual efforts by up to 80%• Extensively utilized UiPath Studio to develop, test, and deploy automation bots based on business process models, ensuring accurate and efficient handling of repetitive tasks• Worked on end-to-end automation for Windows Architecture, integrating UiPath Orchestrator to manage workflows and ensure smooth execution of automated processes• Reduced manual efforts by 90% through the automation of HR onboarding processes and data extraction from handwritten PDF documents, improving turnaround times and accuracy for large-scale data handling

• Gathered requirements for analyzing the HR onboarding process, focusing on streamlining operations related to efficiency, time, and costs. Led a project to semi-automate this process using UiPath with integrated SQL for data handling, OCR for resume parsing, and keyword matching algorithms• Designed and developed interactive PowerBI dashboards for real-time tracking of onboarding metrics, enabling stakeholders to monitorprogress, and generating automated reporting using Python, which resulted in a 30% reduction in onboarding time and enhanced documentation accuracy• Spearheaded the integration of OCR technology with UiPath for automated resume reading, drastically reducing manual efforts in parsing candidate data and increasing the speed of screening•Implemented custom keyword matching algorithms to automatically assess candidate qualifications against job requirements, improving the accuracy and relevance of candidate shortlisting• Automated email notifications for scheduling screening calls, reducing delays in communication between HR and candidates and streamlining the overall onboarding workflow•Achieved a 30% reduction in onboarding time and improved candidate experience, reinforcing the company’s reputation as an organized and efficient employer• Provided training and support to HR staff on utilizing the automated tools and dashboards, ensuring smooth adoption and maximizing the benefits of the automation system

•Developed and implemented the Infor Bot, utilizing OCR technology to scan images and extract text, automating manual invoice processing tasks in INFOR-LN, and significantly improving operational efficiency•Automated the handling of multiple records simultaneously, enabling faster processing of large volumes of data and reducing the manual workload•Streamlined operations by automating data extraction and entry, resulting in a 40% savings in time and costs associated with manual invoice processing•Reduced human errors in the invoicing process by leveraging automation, improving data accuracy, and ensuring smooth integration into the ERP system•Integrated the bot with INFOR-LN's existing workflows, ensuring seamless automation of manual processes and enhancing financial tracking capabilities•Conducted thorough testing and validation of the automation process to ensure error-free execution, improving system reliability and user confidence•Provided training and documentation to end-users on how to use the bot effectively, ensuring smooth adoption and maximizing the benefits of the automation solution

•Analyzed the need to automate the process of identifying, downloading, and installing INFOR-LN patch updates, ensuring better file organization and improving the reporting of outcomes•Developed an automation bot using UiPath RE-Framework and Orchestrator to perform daily checks for new patch updates at 6:00 AM, utilizing UiPath to automate the process and Excel for tracking and reporting•Created a system to download and install patch updates, categorizing files into 'Success' and 'Failure' repositories based on installation outcomes, which streamlined the update process and reduced the chance of errors•Implemented automated file handling and sorting mechanisms that organized patch files, ensuring easy retrieval of update logs and simplifying troubleshooting for failed installations•Leveraged UiPath's Send Email action to send automated, detailed reports to the INFOR-LN team, providing transparent insights into the patch installation process and enabling the swift resolution of any installation issues•Achieved a 40% reduction in the time and resources needed to manage patch updates, enhancing overall accuracy, and allowing team members to focus on more strategic and higher-value tasks•Provided documentation and conducted training sessions for IT teams to ensure they could efficiently maintain and modify the automation workflow as needed