As a data scientist with a background in economics, I leverage machine learning and econometric techniques to address economic questions. I am highly motivated to apply causal inference and business analytics to deliver measurable impact through data-driven solutions. I am passionate about applying my skills for problem solving in the fields of sustainability & renewable energy, healthcare and education.

Levente Harsányi is a mid-level Python engineer based in Budapest, Hungary, currently working at greehill where he builds APIs, databases and reliable data pipelines and improves machine-learning processes with optimized Python tools. He works with 2D/3D image and point-cloud processing and GIS data and focuses on performance optimization for analysis workflows. Previously he was a Software Engineer at thyssenkrupp Presta AG (embedded systems in C, Matlab/Simulink and Python) and completed CAE/FEA internships at AVL and AUDI HUNGARIA; he is also co-founder of Artful Garden (web design, data storage and marketing). He holds a Bachelor's degree and a Master's (Modeling) in Mechanical Engineering from the Budapest University of Technology and Economics.