Nemanja Milićević - Data Analyst in Serbia, Europe | FatCat Coders
NemanjaData Scientist
CET - GMT +1, GMT +2
Available immediately
Senior
bio

Nemanja Milićević

With over 4 years of experience in the scholarly publishing industry, natural sciences, and health insurance, Nemanja brings a wealth of expertise to any team. His analytical skills and industry knowledge allow him to provide valuable insights and drive data-driven decision-making. By adding Nemanja to your team, you’ll be equipped with a seasoned data expert who can help you navigate complex datasets and deliver impactful results.

tech stack
Main Technologies
Data AnalysisData VisualizationMachine LearningPythonTensorFlowSQLAmazon Web Services (AWS)PHP
experience

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

Please note that the experience summary may exclude projects that are not relevant.
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