Nemanja Milićević - Data Analyst in Serbia, Europe | FatCat CodersNemanja Milićević - Data Analyst in Serbia, Europe | FatCat Coders
Belgrade, Serbia
CET - GMT +1, GMT +2

Nemanja Milićević

Data Scientist

4+ years of experience

You need a Data Analyst who brings more than 4 years of experience across the scholar publishing industry, natural sciences and health insurance? Check out Nemanja's profile and be sure to expand your team with this data expert.

Clarivate

March 2022 – ongoing

Clarivate's Web of Science is a comprehensive platform offering scholarly research tools, citation indexing, and insights to accelerate high-quality academic and scientific research globally.

  • Automating processes for the non-tech team within a wider team of around 30 people worldwide, working in different areas related to the Web of Science platform.

  • Extracting data from internal databases using SQL and cloud services (AWS), as well as retrieving external data via APIs.

  • Pre-processing, transforming, and analyzing large datasets in Python, primarily using Pandas, Dask, and NumPy.

  • Mapping patterns and trends in analyzed data and presenting them visually for better comprehension, usually with Power BI.

  • Collaborating with another Data Science colleague and mentoring a Junior Data Analyst.

  • Working on projects related to semantic analysis and machine learning.

Main tech stack:

Python, Pandas, Dask, NumPy, SQL, AWS, PowerBI

Vinča Institute of Nuclear Sciences

September 2020 – February 2022

The Vinča Institute of Nuclear Sciences is a multidisciplinary research institution in Serbia, focusing on diverse scientific and technological disciplines, with over 300 Ph.D. holders and 200 doctoral candidates working on national and international projects.

  • Developed a model for gene prediction to determine whether genes are pathogenic or not, utilizing Python-based frameworks.

  • Participated in a project within the Laboratory for Bioinformatics, where data analysis was required.

  • Conducted further research as a Researcher under the supervision of Ph.D. mentors, leveraging their expertise for scientific writing.

Main tech stack:

Python, Pandas, Dask, NumPy, SQL, PowerBI