Vedran Vucic

Highly flexible, well-rounded environmental engineer with a chemical engineering background. Currently, I am at the end of my PhD degree in biology. In addition, I acquired a qualification as a Python, SQL- based Data Analyst. 

My passion for research and data-driven decision-making (the last 5 years of my professional experience) is inspiring me to move to the Data Analyst career track. My mindset is detail-oriented, a fast learner and an efficient problem solver which fits naturally to data analysis and science environments.

For the last five years, my professional journey has been guided by my passion for research and data-driven decision-making. As a PhD Researcher at the Helmholtz Center for Environmental Research and a Scientific Researcher at the University of Zagreb, I've honed my data collection, analysis, visualization, and presentation skills, bringing my projects to completion. Furthermore, my role as a Technologist in Quality Control at Logistics Violeta d.o.o. additionally underlines my ability for data-driven decision-making to ensure product quality. 

Data Analyst:

• Bootcamp course (300 h) using Python (Numpy, Pandas, Beautifulsoup), SQL
• Data visualisation in Python (Mathplotlib, Seaborne)
• Machine learning in Python (Scikit)
• Additional tools: PowerBi, Tableau

Master's degree of Environmental Engineering (Faculty of Chemical Engineering nd Technology)

• familiar with hazard analysis and critical control points (HACCP) methodology