Gorjan Popovski

About

Data Scientist, Data Analyst & Machine Learning Engineer

Enthusiast in the field of Data Science, Data Analytics and Machine Learning with over 4 years' varied experience (research, teaching & industry). Especially fond of prototype/MVP design & development.

  • City: Skopje, North Macedonia
  • Age: 24
  • Degree: Master of Science
  • E-mail: gorjan.popovski@gmail.com

Topics of interest: Natural Language Processing, Machine Learning, Deep Learning, Representation Learning, Knowledge Engineering, Data Science, Data Analytics, Data Visualization, Software Development, Algorithms and Complexity, Graph Theory, Optimization

Experience & Education

Education

Master of Information and Communication Technologies

2019.10 - 2020.09

Jožef Stefan International Postgraduate School, Ljubljana, Slovenia

Bachelor of Science (Information Technology); sub-degree: Computer Science and Engineering

2016.09 - 2019.06

Faculty of Computer Science and Engineering (FCSE), Skopje, North Macedonia

  • Thesis title: Information extraction from unstructured data and data normalization in the domain of food and nutrition science
  • Grade Average (GPA): 9.63/10

Various certified Coursera specializations and courses

2015 - present
  • Deep Learning Specialization (5 courses) [deeplearning.ai]
  • Natual Language Processing Specialization (5 courses) [deeplearning.ai]
  • Game Theory I [Stanford University & University of British Columbia]
  • Game Theory II [Stanford University & University of British Columbia]
  • Machine Learning [Stanford Universiy]
  • Cryptography I [Stanford Universiy]

Professional Experience

Data Scientist

2021.04.06 - Present

Enetra

  • Part of core Data Science team.
  • Designing and implementing systems related to energy trading:
    • Data pipelines (scraping, cleaning, processing)
    • Simulations
    • Predictive modeling
    • Timeseries forecasting

Data Scientist

2021.04.06 - Present

Fareboom

  • Part of core Data Science team.
  • Designing and implementing systems:
    • Data-driven bot attack detection and mitigation
    • Data-driven traffic filter optimization based on KPI statistics

Data Science Lecturer

2021.10.01 - Present [part-time]

CreativeHub

  • Lecturing SQL, Python Basics and Advanced Python in the domain of Data Science.

Freelance Data Science work on Upwork

2021.11.01 - Present [freelance]

Upwork

  • Work on various Natural Language Processing (NLP) projects:
    • Automatic agent-customer communication violation detection
    • News aggregation

Consulting Machine Learning Engineer

2021.06.01 - 2021.09.01 [consulting]

NanosAI

Consulting Machine Learning Engineer

2021.04.01 - 2021.05.01 [consulting]

CloudAEye

Young Researcher

2020.10.01 - 2021.03.19

Department of Computer Systems, Jožef Stefan Institute

Research Summer Internship

2020.06.22 - 2020.09.09 [Internship]

Data and Science Lab (dlab) School of Computer and Communication Sciences, EPFL

Research Assistant

2019.09.10 - 2020.09.30

Department of Computer Systems, Jožef Stefan Institute

Visiting Researcher

2019.02.18 - 2020.03.22 & 2018.03.15 - 2018.06.15

Department of Computer Systems, Jožef Stefan Institute

Competitive Programming Trainer

2017.09.22 - 2018.09.22 [part-time]

Semos

  • Preparing middle school and high school students for national and international competitive programming olympiads.

Skills

Programming languages (Descending order of proficiency):
  • Python
  • C++
  • R
  • C
  • C#
  • Clojure
  • JavaScript/TypeScript
  • Octave/MATLAB
  • Rust
Frameworks & Technologies (Alphabetical)
  • Python: Flask, Jupyter, Keras. PyTorch, NLTK, NumPy, Numba, Pandas, Plotly/Dash, PyQT, SciPy, Tensorflow, Trax, coreNLP, huggingface, matplotpib, networkx, openNLP, scikit-learn, seaborn
  • R: caret, coreNLP, dplyr, ggplot2, tidyr
  • Databases: MongoDB, Redis, SQL (MS, Postgre)
  • General: Docker, Git, Office suites, Tableau

Accolades

Competitive programming:
  • National competitions:
    • First award: 2015, 2012
    • Second award: 2016, 2014, 2013
    • Third award: 2011
  • Macedonian Olympiad in Informatics (MOI):
    • Bronze medal: 2016, 2014
  • International:
    • Bronze medal at Junior Balkan Olympiad in Informatics 2012
  • IEEEXtreme:
    • 12.0, 2018: ranked 186 of 2608 teams.
    • 11.0, 2017: ranked 181 of 3350 teams.
    • 10.0, 2017: ranked 281 of 1823 teams.
  • Two-time (2016-2018) award for excellent academic undergraduate performance throughout the academic year at the Faculty of Computer Science and Engineering.
  • Scholarships
    • Postgraduate Ad Future Scholarship for study in Slovenia.
    • Scholarship awarded to 100 students by the Ministry of Education of The Republic of North Macedonia for excellent undergraduate academic success.

Portfolio

Research:
  • 25 conference and journal publications in the domain of Data Science.
  • Work on Horizon2020 project FNS-CLOUD
  • Full portfolio: GoogleScholar
Open source:
Hackathons:

Services

Data Science

Machine Learning

Data Analysis

Software Development

Data Pipeline Design & Development

Prototype & Product Development