Lai Aguiar

I am a Data Scientist with a strong background in predictive modeling and data lake development. With over two years of experience at Advisia Analytics in São Paulo, I have honed my skills in leveraging advanced statistical techniques and machine learning algorithms to forecast future trends. I am also proficient in implementing and optimizing data lake infrastructures and utilizing cloud platforms such as Azure and GCP to streamline data processing workflows.

Prior to my current role, I worked as an Analyst at CPFL in Campinas, where I specialized in predictive analysis and fraud detection. I utilized advanced statistical techniques and machine learning algorithms to develop models for fraud detection and gained proficiency in data scraping techniques for efficient extraction of valuable insights from diverse sources. My role at CPFL equipped me with valuable skills in data analytics and fraud prevention strategies.

During my tenure at Accenture in São Paulo, I held the position of Analyst, focusing on cloud infrastructure development. I gained extensive experience in deploying and managing Azure and AWS environments, specializing in building ETL processes and Big Data pipelines. Additionally, I utilized Scala Spark and Databricks to develop efficient data processing workflows, contributing to the successful implementation of various projects. My time at Accenture honed my skills in cloud computing, data engineering, and Big Data technologies.

As an intern at Vitta Tecnologia em Saúde in São Paulo, I gained practical experience in various aspects of data analytics and technology. I developed proficiency in Python and SQL for data manipulation and analysis and utilized Microsoft Power BI for data visualization and reporting. My internship also provided exposure to machine learning techniques, data modeling, and ETL processes, contributing to my holistic understanding of data-driven solutions in the healthcare sector.

During my internship at Hospital Israelita Albert Einstein in São Paulo, I focused on machine learning and analytics using health and hospital data. This experience provided me with valuable insights into leveraging data-driven approaches to enhance healthcare outcomes. I also gained proficiency in web programming using Django, contributing to the development of innovative solutions for healthcare management and patient care.