GRESB
Gabriela Trindade is a Junior Data Scientist with experience in developing Machine Learning models for crop yield prediction and classification. Gabriela has worked with remote sensing data, data gathering, wrangling, Time Series analysis, and web scraping. Gabriela's tech stack includes Python, Postgres, AWS S3, Jupyter Notebook, Google Colab, and Pycharm. Gabriela completed a Bootcamp in Applied Data Science at Alura, and holds a Master's degree in Computer Science with a focus on Software Engineering. Additionally, Gabriela has experience as a teacher assistant and in requirements analysis.
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GRESB
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GRESB is a mission-driven and industry-led organization providing standardized and validated Environmental, Social, and Governance (ESG) data to financial markets. Established in 2009, GRESB has become the leading ESG benchmark for real estate and infrastructure investments across the world, used by 150 institutional and financial investors to inform decision-making. In 2023, the GRESB Real Estate and Infrastructure Benchmarks covered 2,084 real estate portfolios and companies, as well as 687 infrastructure assets and 172 infrastructure funds, representing USD 8.8 trillion of gross asset value across 75 countries.