Gorjan P.

Data Scientist

Gorjan, with five years of experience as a Data Scientist, demonstrates versatility and expertise across diverse domains within data science in his role.

One of his key responsibilities is designing and implementing data pipelines. These pipelines are essential for data scraping, cleaning, and processing. He also delves into the development of ROI (Return on Investment) simulations and trading strategies, a vital aspect of quantitative finance.

Gorjan is well-versed in time-series forecasting, which is crucial for making predictions based on historical data. He also specializes in modeling energy systems, a domain where data science can significantly impact.

Additionally, he imparts knowledge in fundamental areas by teaching courses in SQL, Python Basics, and Python Advanced, which are highly relevant to the field of Data Science.

Main expertise
  • Data Science 5 years
  • C
    C 8 years
  • Machine Learning
    Machine Learning 5 years
Other skills
  • Docker
    Docker 2 years
  • OpenCV
    OpenCV 2 years
  • Streamlit
    Streamlit 2 years
Gorjan
Gorjan P.

North Macedonia

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Selected experience

Employment

  • Author

    Educative.io - 1 year 8 months

    • Author of NLP course, expected to be published Q3 2023.

    Technologies:

    • Technologies:
    • Data Science
    • NLP
    • Python Python
  • Data Science Lecturer

    Brainster co - 2 years

    • Teaching topics in Data Science, such as Supervised Learning, Unsupervised Learning, Neural Networks, NLP, Timeseries Analysis, and more.

    Technologies:

    • Technologies:
    • Data Science
  • Data Scientist

    Enetra - 3 years 1 month

    • Designing data pipelines for tasks such as scraping, cleaning, and processing.
    • Developing ROI simulations to assess returns on investment.
    • Creating and implementing trading strategies to optimize energy trading.
    • Conducting time series forecasting for informed decision-making.
    • Modelling complex energy systems for analysis and improvement.
    • Designing and implementing efficient ETL (Extract, Transform, Load) pipelines.

    Technologies:

    • Technologies:
    • Data Science
    • Machine Learning Machine Learning
    • Python Python
    • NumPy NumPy
    • Pandas Pandas

Education

  • Doctor Of PhilosophyMathematical Optimization

    Jožef Stefan International Postgraduate School · 2020 - 2025

  • MSc.Information and Communication Technologies (Thesis in NLP)

    Jožef Stefan International Postgraduate School · 2019 - 2020

  • BSc.Information Technology - Computer Science and Engineering

    “Ss. Cyril and Methodius” University · 2016 - 2019

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