Mariana Bruning
Environmental Engineer & Data Scientist
A passionate environmental engineer with a knack for data science, dedicated to leveraging technology for a sustainable future. My work focuses on analyzing environmental data to model and predict ecological changes, contributing to conservation efforts and policy-making.
Technical Proficiency
A diverse toolkit for data analysis, modeling, and environmental science.
Featured Projects
A selection of my work in data science and environmental engineering.
A machine learning model that uses satellite imagery to detect and predict deforestation hotspots in the Amazon rainforest.
A RESTful API providing real-time water quality data from various sensors deployed in local rivers. Includes data on pH, turbidity, and contaminant levels.
An analysis of urban heat island effects using geospatial data. This project visualizes temperature disparities across city landscapes.
Publications
My contributions to the field of environmental science and data analysis.
This paper presents a novel machine learning framework for the early detection and prediction of harmful algal blooms (HABs) using remote sensing data and in-situ measurements...
An investigation into how changing climate patterns affect soil moisture retention capabilities across different biomes, with implications for agriculture and land management...
Conferences & Presentations
Sharing knowledge and collaborating with the professional community.
Presented my research on "Predictive Modeling of Algal Blooms". Key takeaways include new techniques in satellite data fusion and time-series forecasting.
Attended sessions on hydrology and biogeosciences. Gained insights into the latest advancements in earth and space science.