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Nikos Giannopoulos

Nikos Giannopoulos

Machine Learning Study Group Coordinator

Followers of Nikos Giannopoulos640 followers
location of Nikos GiannopoulosNetherlands

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  • Timeline

  • About me

    Data Engineer @KORSIT | MSc in Data Science & Artificial Intelligence

  • Education

    • Eindhoven University of Technology

      2021 - 2023
      Master of Science - MS Data Science & Artificial Intelligence

    • Stevens Institute of Technology

      2012 - 2012
      Summer School Exploring Career Options in Engineering & Science (ECOES)

    • Aristotle University of Thessaloniki (AUTH)

      2014 - 2020
      Diploma of Engineering (equivalent to BEng & MEng), Electrical and Computer Engineering

      Diploma Thesis: "Development of a real-time personalized banner recommendation system for online e-shops based on machine learning techniques"

    • Anatolia College

      2008 - 2014
      High School Diploma

  • Experience

    • IEEE AUTH Student Branch

      Apr 2018 - May 2019
      Machine Learning Study Group Coordinator

    • NET2GRID

      Mar 2019 - May 2019
      Data Scientist

      - Created appliance specific models by utilizing energy consumption dataset- Worked on training ML models in order to recognize shapes of power consumption signalusing Convolutional and Recurrent Neural Networks.- Achieved real‑time disaggregration and recognition of 8 basic and energy intensive houseappliances

    • Pharm24.gr

      Oct 2019 - Aug 2020
      Machine Learning Engineer - Thesis Project

      - Proposed a real‑time banner recommendation system for a medium sized pharmacy e‑shopwith 20,000+ products- Trained Machine Learning models with user "clickstream" data to effectively recognize userbehaviors and interests- Performed A/B Testing for the recommendation system evaluation- Increased Click‑Though‑Rate (CTR) of banner ads by 20% after personalization

    • MantiSpectra

      Oct 2021 - Oct 2022
      Data Scientist

      - Processing and classification of high-dimensional spectroscopy data- Machine Learning pipelines for training and prediction- REST API for communicating with server-deployed ML models

    • Viggo Service Enablers

      Nov 2022 - Oct 2023
      Machine Learning Engineer

      - Development of time‑series forecasting models for short‑term passenger and baggage flowprediction at Eindhoven Airport- Analysis and statistical modeling of passenger arrival behaviour- Explainable Forecasts for improved ground handling operations' decision making- Predictive Analytics Forecasting ‑ DataOps concept (Data Engineering ‑ Data Quality ‑ DataIntegration)

    • KORSIT

      Nov 2023 - now
      Data Engineer

  • Licenses & Certifications

    • Big Data in the Age of AI

      LinkedIn Learning ⋅ Course Certificate
      May 2021

    • Zertifikat B2

      Goethe-Institut e.V.

    • Certificate of Proficiency in English

      University of Michigan

    • SQL Essential Training

      LinkedIn
      Jul 2021
      View certificate certificate

    • Deep Learning and Computer Vision for Autonomous Systems: drones in infrastructure inspection

      Aristotle University of Thessaloniki (AUTH)
      Feb 2020

    • Building Recommender Systems with Machine Learning and AI

      Udemy
      Mar 2020
      View certificate certificate

  • Honors & Awards

    • Awarded to Nikos Giannopoulos
      3rd place at EBEC 2016 local round Board of European Students of Technology(BEST) Dec 2015 12 teams of 4 students from the school of Engineering (approx. 10.000 students) were chosen to participate in the competition.The task was to design a solution aimed at optimizing distribution of gas stations throughout Greece’s 2 major cities and maximizing productivity at these stations while minimizing the cost. We presented our solutions to members of the school of engineering (students, professors) as well as company representatives from Shell and Phillips. The winners were chosen… Show more 12 teams of 4 students from the school of Engineering (approx. 10.000 students) were chosen to participate in the competition.The task was to design a solution aimed at optimizing distribution of gas stations throughout Greece’s 2 major cities and maximizing productivity at these stations while minimizing the cost. We presented our solutions to members of the school of engineering (students, professors) as well as company representatives from Shell and Phillips. The winners were chosen based on the applicability of their design, creativity and cost. Show less