With a robust background that bridges IT and Environmental Science research, I bring over six years of expertise in coding with Python, Matlab, and SQL for environmental analysis, with a recent focus on software development. My passion lies in data analysis and visualization, using numbers, tables and graphs as powerful tools for informed decision-making. Problem-solving is at the core of what drives me. In my current role at Celfocus, I specialize in meticulous test planning and execution, emphasizing automation test development on the Azure Cloud platform using Python and SQL. My responsibilities include testing final tables on Databricks and overseeing pipeline runs on Azure Data Factory, which have honed my attention to detail, critical thinking, and proficiency in modern cloud technologies. My experience as a geoscience researcher and engineer has equipped me with the ability to apply machine learning models — such as regressions, clustering, correlations, and PCA — to analyze time series and spatial wind and ocean data, understand our environment and offer sustainable solutions based on real data. This interdisciplinary experience allows me to approach problems from multiple angles and develop innovative solutions. Key strengths such as adaptability, proactivity, a willingness to learn, critical thinking, and a problem-solving mindset enable me to thrive in dynamic and diverse environments. As a versatile professional with a multidisciplinary background, I am continually seeking opportunities to expand my skills and deliver exceptional results.