Internship at University of Ljubljana
* Professional GIS specialist in the DRINKADRIA European Project: Networking for Drinking Water Supply
in Adriatic Region
* Geospatial data processing for groundwater vulnerability mapping, data acquisition and preparation of
database including vector data.
* The role included planning, zoning, and GIS data preparation for 7 countries around Adriatic Sea which
participated at the project.
* Climate models integration into vulnerability analysis using Spatial Analyst Tools and Data Interoperability.
* Manage data of land-use and land cover change, ecosystem dynamics, determinate the local water
exploitation index, hydrogeological maps.
DATA ANALYTICS SKILLS
* Import, clean, and manipulate datasets to solve real data science problems.
* Programming for Data Science - Python, Pandas, NumPy, PyCharm, Spider, Anaconda.
* Cleaning and Analyzing Data - Data Manipulation, Common Errors, Sampling.
* Use Python to import, clean, manipulate, and analyze various types of data.
* Draw insights, develop a hypothesis, and begin running experiments to test your assumptions.
* Data Modeling - Regression, Classification, Machine Learning Techniques.
* Build linear models for numerical data and categorical models for non-numerical types of data, including
machine learning models, data migration.
* Using real data science applied in the field, you will learn to build linear models for numerical data and
categorical models for non-numerical types of data.
* Build and run various types of models on real datasets to uncover patterns and make predictions.
* Visualization and Presentation of Data - Visualization Packages, Visual Analysis.
* Possessing an extensive analytical skills, strong attention to detail, and a significant ability to work in team
environments.