Larissa Menussi
About Larissa Menussi
Larissa Menussi is an Operations Analyst at Accruent, where she has worked since 2022. She has a background in engineering and quality management, with previous roles at UFSCar and ABB Brasil.
Work at Accruent
Larissa Menussi has been employed at Accruent as an Operations Analyst since 2022. In this role, she has focused on implementing the Fortive Business System (FBS) methodology for problem-solving, utilizing the DMAIC steps. She has also developed Power BI dashboards that provide insights into various departmental processes, highlighting opportunities for improvement.
Previous Experience
Before joining Accruent, Larissa Menussi worked at ABB Brasil in various capacities. She served as a Quality and Operational Excellence Analyst from 2020 to 2022, where she led a global improvement project using Lean Six Sigma methodology. This project resulted in significant revenue gains and improved inventory turnover. Additionally, she held roles as a Procurement & Logistics Intern and Material Planning Intern in 2019, and contributed to quality initiatives during her tenure.
Education and Expertise
Larissa Menussi has a solid educational background in engineering and information systems. She earned a Bachelor's degree in Production Engineering from UFSCar, where she studied from 2015 to 2019. Prior to that, she completed Técnico em Qualidade e Produtividade at Colégio Técnico de Limeira - Unicamp from 2011 to 2013. She also studied at Escola SENAI 'Luiz Varga', achieving a degree in Information Systems.
Research and Development Experience
Larissa Menussi has experience in research and development from her time at UFSCar. She worked as a Scientific Researcher from 2018 to 2019 in Sorocaba, São Paulo, Brazil. Additionally, she served as a Monitor in 2017 for three months, contributing to academic support and development.
Technical Skills
Larissa Menussi possesses strong technical skills in data management and analysis. She has developed KPIs for operational areas using Power BI, focusing on metrics such as supplier service levels and freight costs. Furthermore, she has experience in constructing databases using Snowflake as a data lake and managing high volumes of data with SQL.