Laasya P
About Laasya P
Laasya P is an Associate Consultant at KPMG India, specializing in RPA solutions. She has a background in software engineering from Accenture and holds a Bachelor's degree in Computer Engineering from BNM Institute Of Technology.
Work at KPMG India
Laasya P currently serves as an Associate Consultant at KPMG India. In this role, she focuses on automation solutions and RPA projects. Her responsibilities include conducting code reviews and ensuring the quality of code across various initiatives. Laasya's work contributes to the efficiency and effectiveness of automation processes within the organization.
Previous Experience at Accenture
Before joining KPMG India, Laasya P worked as a Software Engineer at Accenture from 2017 to 2020 in Bengaluru, Karnataka, India. During her three years at Accenture, she gained valuable experience in software development and automation technologies. Her role involved handling multiple RPA projects, which provided her with a strong foundation in the field.
Education and Expertise
Laasya P earned her Bachelor's degree in Computer Engineering from BNM Institute of Technology, where she studied from 2013 to 2017. Her education equipped her with a solid understanding of computer science principles and engineering practices. Laasya possesses expertise in developing RPA solutions, specifically using Automation Anywhere's A360 and version 11, as well as IQBot.
RPA Projects and Achievements
Laasya P has successfully handled over 15 RPA projects, resulting in significant cost benefits totaling $200,000. These savings are equivalent to the workload of 10 full-time employees. Her contributions to these projects demonstrate her ability to implement effective automation solutions that enhance operational efficiency.
Technical Skills and Automation Solutions
Laasya P has hands-on experience in developing chatbots and leveraging various automation technologies. She is skilled in using VBA macros and SQL queries to create robust hybrid automation solutions. Her technical skills enable her to address complex automation challenges and contribute to innovative solutions in her field.