Dimitrios Delegkos

Work

Work experience gained throughout my professional career so far.

Mid Data Analyst - Eurobank
(Oct 2025 - Present)

Spearhead the creation of data analytics solutions for data quality and auditing purposes

Decide, design and build the solution’s architecture of ETL jobs by utilizing and combining tools like SQL Server, Python

Streamline the whole data quality process by developing ETL pipelines and building interactive BI dashboards

Enhance the solution’s architecture with Git for version control and better collaboration

Upgraded existing methods by making use of modern data analytics tools, achieving near real-time insights

Data Analysis | Data Visualization | Data Engineering

Data Engineer - Satori Analytics
(April 2025 - Oct 2025)

Designed and developed ETL pipelines and data solutions using Azure Data Factory, Databricks, and SQL

Built interactive Power BI dashboards with strong data modeling and DAX to translate complex datasets into actionable insights

Collaborated with solution architects, business analysts, and clients in agile environments to deliver high-quality projects

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

Education

MSc in Big Data / AI 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.
Thesis : Application of Data Analytics in the Banking Sector: Prediction of Loan Defaulting.

Graduated with GPA 9.1/10.

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.

Skills

Data Analytics / Data Science

Programming

Tools

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.

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.

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).

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.

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.

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

Databricks Data Engineer Associate (Aug 2026)

Successfully completed the Databricks exam on Data Engineering using the Databricks platform. Acquired foundational expertise in building and optimizing end-to-end data pipelines using the Databricks Data Intelligence Platform and PySpark. Demonstrated practical skills in ETL, Lakeflow Jobs orchestration, CI/CD, performance troubleshooting, and enterprise data governance.

Fabric Data Engineer Associate (Dec 2025)

Successfully completed the Microsoft exam on Data Engineering using the Fabric platform. Acquired skills in implementing and managing analytical solutions, ingesting, transforming, and loading data as well as monitoring and optimizing data solutions.

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)