Elyza Silverio
About Elyza Silverio
Elyza Silverio is a Data Specialist in Automation with extensive experience in data analysis and reporting. She has worked at Isentia and Korn Ferry, where she developed algorithms and optimized data processing methodologies.
Work at Isentia
Elyza Silverio has been employed at Isentia since 2021, currently holding the position of Data Specialist - Automation. Prior to this role, she worked as a Data Analyst at Isentia from 2018 to 2021. During her tenure, she contributed to various data-driven projects in the National Capital Region of the Philippines. Her work involved developing algorithms and methodologies that enhanced data processing and analysis.
Experience at Unilab Foundation, Inc.
Before her current roles, Elyza Silverio worked at Unilab Foundation, Inc. as a Statistician for a period of 7 months in 2019. Her responsibilities included statistical analysis and contributing to the Ideas Positive initiative, which focused on health and social impact projects.
Current Role at Korn Ferry
Elyza Silverio is currently a Reporting Analyst II at Korn Ferry, a position she has held since 2021. In this role, she is responsible for generating reports and analyzing data to support organizational decision-making. Her expertise in data analysis is utilized to provide insights that drive business strategies.
Education and Expertise
Elyza Silverio earned her Bachelor of Science in Mathematics with a focus on Applied Statistics from Bulacan State University, completing her studies from 2014 to 2018. Her educational background has equipped her with the skills necessary for her roles in data analysis and statistics, enabling her to develop algorithms and optimize data processing methodologies.
Achievements in Data Analysis
Elyza Silverio has developed a text analysis algorithm that streamlined manual coding processes, which supported multiple critical reports. She also created and implemented media impact score (MIS) formulas in Google Sheets and Excel, enhancing data analysis through the incorporation of various variables. Additionally, she optimized a new data processing methodology that was adopted as the standard across the ANZ region and utilized in global projects.