As an experienced Simulation Engineer and Big Data Analyst with a keen focus on Cloud Computing and Data Science, I bring a comprehensive suite of technical skills and innovative problem-solving abilities. My diverse experience enables me to tackle interdisciplinary problems effectively and build bridges between different fields, positioning me as an asset in a innovative and dynamic environment.My significant contributions include change detection using time series and statistics in the Amazon forest basin, anomaly detection, and ML/AI based land cover classification. Previously at Mavel s.r.o, I served as a Simulation Engineer, focusing on numerical simulation for structural, modal, and harmonic analysis. I am passionate about applying my technical know-how to drive advancements in data processing and analysis, continually updating my skills to stay abreast of technological trends. I relish challenges that blend analytical and creative thinking, and I'm open to exploring new opportunities and collaborations in simulation engineering, big data analysis, and Earth System Science.--I had the honor of speaking at the EC-ESA Joint Earth System Science Initiative 2023 in ESA-ESRIN, where I presented on "CNN-segmentation for Tree Cover Change Detection." This talk highlighted the innovative use of Convolutional Neural Networks (CNN) in segmenting radar satellite imagery for wall-to-wall detection of changes in tree cover.
Listed skills include Matlab, Ansys, C++, Fluid Dynamics, and 7 others.