I am Dimitrios Delegkos

A Data Science | Data Analytics Enthusiast



Education

MSc Student in Big Data and Analytics - Unipi

Courses : Programming and Big Data Infrastructures: Python and Cloud Computing, Data Management for Relational and Non-Relational Databases, Machine Learning: Methods and Algorithms, Data Mining and Data Preparation, Big Data Processing: Techniques and Tools, Deep Learning and AI, Business Process Analytics and Simulation, Predictive Analytics

BSc in Management Science & Technology - AUEB

Major : Information Systems and Electronic Business.
Relevant Courses : Business Analytics and Personalization Techniques, Database Information Systems, Algorithms and Data Structures.
Graduated with GPA 7.4/10.

Work

Work experience gained throughout my professional career so far.

Data Engineer - Satori Analytics
(April 2025 - Present)

Data Engineering | Data Analysis | Data Visualization

Business Intelligence (BI) Analyst -
National Bank of Greece
(Nov 2023 - April 2025)

Subdivision of Automated Controls & Data Analytics

  • Responsible for the reporting process of the department and the transition to BI era
  • Utilized Power BI as a tool to collect, integrate, cleanse 4+ years of data from different sources and file formats (words, excels, pdf's) as a preliminary step for migration purposes
  • Developed automated file quality checks using DAX formulas, enabling near real-time error and outlier detection, which significantly reduced the time needed to gain valuable insights compared to previous manual processes.
  • Upgraded existing reporting methods (primarily in Excel) by making use of modern data analytics tools (such as Microsoft Power BI)
  • Ad-hoc Reports and Dashboards

    • Data Analysis | Data Visualization | Business Intelligence (BI)

    IT Support - Research and Informatics Corps - Greek Army
    (July 2022 - Mar 2023)

  • Technical Support of computer issues and guidance both to users and to military staff
  • Administration of the local Active Directory
  • Documentation of the everyday activities
  • Training new members

    • IT Support | Troubleshooting

    Business Analyst - ITMC S.A Management Consultants
    (Oct 2020 - Jun 2021 )

  • Developed business process models resulting to the simplification of the existing processes
  • Implemented business process re-engineering, based on defined KPIs
  • Developed dashboards using BPM systems, for analyzing business processes

    • Business Analysis | Business Process Modeling | Business Process Analysis | Dashboards

    Digital Transformation Consultant - ITMC S.A Management Consultants (July 2020 - Oct 2020)

  • Developed business process models resulting to the simplification of the existing processes
  • Participated in tasks related to process analysis / process mining

    • Business Process Modeling | Business Process Analysis

    Skills

    Data Analytics / Data Science

    pandas
    numpy
    scikitlearn
    tensorflow
    matplotlib   
    seaborn 
    powerbi
    excel
    azureml
    rapidminer
    azureml
    Programming
    python
     
    mysql
      
    mongodb
      
    R
    Tools
    git
        
    docker

    Projects

    Employee Churn Prediction

    In this project i test and compare 8 different ML models for predicting whether an employee will leave a company or not. The models are: Logistic Regression, Decision Tree, Random Forest, XGBoost, Naive Bayes, KNN, SVC, Artificial Neural Network.

    Moreover, there is a demo in Python here.

    Finally, a similar demo in R can be found here.

    Python | Pandas | Numpy | Matplotlib | Seaborn | Scikit-Learn | Tensorflow | Streamlit

    Vehicle Price Prediction

    In this project i make different ML models for predicting the price of a vehicle, based on its features.

    Moreover, there is a light demo here.

    Python | Pandas | Numpy | Matplotlib | Seaborn | Scikit-Learn | Streamlit

    Customer Expenditure Prediction

    In this project i analyze customer data and explore whether an E-commerce company should focus their efforts on their mobile app experience or their website (based on the yearly amount that the customers spend).

    Python | Pandas | Numpy | Matplotlib | Seaborn | Scikit-Learn

    Spam SMS Detector - NLP

    In this project i make a model which can predict whether a SMS is spam or not.

    For this purpose, NLP techniques are being used, along with the Naive Bayes classification algorithm.

    Python | Pandas | Numpy | Scikit-Learn | NLTK

    Movie Review Classification - NLP

    In this project i make a model which can predict the sentiment of a movie review (positive or negative). For this purpose, NLP techniques are being used, along with the Logistic Regression classification algorithm.


    Python | Pandas | Numpy | Scikit-Learn | Matplotlib | NLTK | Wordcloud

    Market Basket Analysis

    In this project i analyze data from a Retail company and find the best deals of products that it should provide to their customers (based on some transactions).

    For this purpose, Association Rule Learning techniques are being used.

    Python | Pandas | Numpy | Apyori

    Market Segmentation

    In this project i analyze transactional data from an online Retail company and based on them i perform a market segmentation.

    For this purpose, the K-Means algorithm is being used as a clustering method.

    Python | Pandas | Numpy | Matplotlib | Seaborn | Scikit-Learn | Clustering

    Computer Vision

    In this project i make a model which can recognize whether a photo is a Dog or a Cat.

    For this purpose, a Convolutional Neural Network is being used.

    Python | NumPy | Tensorflow | CNN

    911 Calls - EDA

    In this project i perform an exploratory data analysis of 911 calls.


    Python | Pandas | Numpy | Matplotlib | Seaborn


    Certifications

    Power BI Data Analyst - Microsoft (Mar 2024)

    Successfully completed Microsoft's Specialization on "Power BI Data Analyst". Utilized the Power BI in order to create visualizations, build data models, dashboards and reports.





    Microsoft Azure AI Fundamentals - Microsoft (April 2022)

    Successfully completed the Microsoft exam on machine learning (ML) and artificial intelligence (AI) concepts using the Microsoft Azure services.




    Data Science and Applied Machine Learning with Python - Mathesis, Crete University (April 2022)

    Successfully completed the University of Crete course on "Data Science and Applied Machine Learning with Python" . Through this course i utilized various Python libraries for data manipulation, data cleaning, data visualization, machine and deep learning.

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