Alexander Costa
About Alexander Costa
Alexander Costa is a Data Associate at Pearl Meyer, specializing in data synthesis and visualization for client projects in the compensation consulting industry. He holds a Master of Science in Data Science from Northwestern University and has experience in econometrics and quantitative analysis from his studies at the University of Illinois Urbana-Champaign.
Work at Pearl
Alexander Costa has been employed as a Data Associate at Pearl Meyer since 2022. In this role, he utilizes various technologies and data sources to clean and synthesize data pertinent to client projects within the compensation consulting industry. His responsibilities include balancing multiple project deliverables and managing shifting deadlines, demonstrating effective time management and communication skills in a fast-paced environment.
Education and Expertise
Alexander Costa is pursuing a Master of Science in Data Science with a focus on Data Engineering at Northwestern University, expected to complete in 2027. He previously earned a Bachelor of Science in Econometrics and Quantitative Economics and a Bachelor of Arts in Urban Studies and Planning: Policy and Planning from the University of Illinois Urbana-Champaign, both completed in 2022. His educational background equips him with a strong foundation in data analysis and policy evaluation.
Background
Before joining Pearl Meyer, Alexander Costa gained practical experience as a Design Coordinator Intern at PepsiCo from 2017 to 2018. He also worked at the University of Illinois Urbana-Champaign as a Research and Data Science Assistant for four months in 2022 and as a Public Service Intern for one year from 2021 to 2022. These roles contributed to his development in data analysis and project management.
Technical Skills
Alexander specializes in conducting robust linear regression analysis, synthetic control analysis, and difference-in-difference tests, which are essential for evaluating policy and business decisions. He also focuses on creating data visualizations that present complex datasets in a concise and understandable manner, enhancing client comprehension of data-driven insights.
Projects and Initiatives
During his academic career, Alexander developed an interactive HTML RStudio 'bookdown' aimed at educational purposes, specifically focusing on causal effect evaluation techniques in economics research. This project reflects his commitment to advancing understanding in the field of data science and economics.