Zoe Kousteni

Data Engineer · Analytics and AI · Rotterdam, NL Based

"The most common way people give up their power is by thinking they don't have any." — Alice Walker

About Me

Being in the job industry since 2017, I have navigated through various professional environments — from sales and customer-facing roles to data engineering and software development. My experience in sales has forged me into a strong communicator with a people-first mindset that I carry into every technical role I take on.

I'm passionate about data, machine learning, and the way technology can solve real problems. I love to learn across disciplines — languages, design, and engineering all live on my radar. I studied abroad at the University of Osijek in Croatia through the Erasmus+ programme, completed a Bachelor's in Industrial Design & Production Engineering at the University of West Attica, and wrote an AI-based thesis on Human-Robot Interaction and Trust.

Currently based in Rotterdam, NL and actively learning Dutch. 🇳🇱

Education

Bachelor of Engineering — Industrial Design & Production Engineering
University of West Attica, Athens, Greece
2014 — Oct 2023
Grade: 8.03 · 365 ECTs
Former Department of Automation Engineering
Activities: University Music Team
Erasmus+ Exchange — Electrical Engineering & Computer Science
University of Osijek, Osijek, Croatia
2018 — 2019
Courses: Cryptography and System Security
Earned A1 certificate in Croatian language

Experience

Data Engineer
Accenture Greece
Oct 2024 — Present · Full-time · Athens, Hybrid
Working in a large-scale data engineering environment, building and maintaining data pipelines and ETL workflows. Collaborating with cross-functional teams to deliver data-driven solutions for enterprise clients.
Data Engineer
SLEED
Apr 2024 — Oct 2024 · 7 mos · Hybrid
Developed and maintained data pipelines and integrations. Worked closely with the analytics team to ensure data quality and availability across reporting systems.
Web Analytics Engineer
SLEED
Jun 2023 — Apr 2024 · 11 mos · Hybrid
Implemented and managed web tracking solutions using Google Tag Manager and Google Analytics 4. Built reporting dashboards in Looker Studio and supported data-driven decision making across marketing and product teams.
Project Coordinator (Data)
Intrum
Aug 2022 — May 2023 · 10 mos · Full-time
Coordinated data-related projects across teams, ensuring timely delivery and accuracy of reporting. Acted as a bridge between technical and business stakeholders to translate data needs into actionable insights.
Data Engineer
Evolution Tech
Apr 2022 — Jul 2022 · 4 mos · Contract
Built and optimised data pipelines and ETL processes on a contract basis, delivering scalable data infrastructure for the client's analytics stack.
Software Engineer
Squaredev
Dec 2021 — Mar 2022 · 4 mos · Full-time · Athens
Built full-stack web applications and REST APIs. Worked across the product lifecycle from backend logic to frontend delivery using JavaScript, React, and various frameworks.
Developer
Zero to MVP Inc
Jun 2021 — Oct 2021 · 5 mos · Apprenticeship
Focused on JavaScript and C# / .NET to automate processes and deliver projects. Gained hands-on experience with REST API implementations in a fast-paced startup environment.
Data Science Intern
EWORX S.A.
Jul 2020 — Sep 2020 · 3 mos · Apprenticeship · Khalándrion
First tech role — learned Python and R for data manipulation and visualisation, working on real business data projects from day one.

Projects

💻 Car Reviews — LLM Analysis
Used large language models to analyse and classify car reviews, extracting sentiment and key themes from unstructured text data. Explored various LLM prompting strategies for structured output.
PythonLLMsNLPPandas
💻 Email Classifier with Llama 3
Built an email classification pipeline using Meta's Llama 3 model to automatically categorise incoming emails by intent and priority. Focused on fine-tuning prompts for high accuracy on noisy real-world text.
PythonLlama 3Hugging FaceNLP
💻 Netflix Movies — Exploratory Data Analysis
Investigated the Netflix movies dataset with Python and Pandas, uncovering trends in release years, genres, ratings, and content diversity. Produced visualisations to communicate findings clearly.
PythonPandasData VisualisationEDA
📄 Thesis — Human-Robot Interaction & Trust
Bachelor's thesis exploring the dynamics of trust in human-robot interaction using AI-based modelling. Investigated how design and behaviour affect user trust in robotic systems.
Machine LearningHRIResearchAI

Case Study

PulseClub — Fitness Analytics Case Study

An end-to-end analytics case study on a fictional fitness club chain operating across the Netherlands, Belgium, France, Germany, and Spain. Built a full star-schema data model from scratch, designed DAX measures for membership, churn, visit behaviour, and app engagement, and delivered an interactive Power BI report with custom tooltips, slicers, and a branded theme.

The report was originally built in Power BI. A static HTML version is available via the Interactive Dashboard button below that was co-developed with Claude so that it can be accessed without a Power BI license. Note that there are several differences between the static version and the original Power BI report. The original .pbix file can be found in the repository at CaseStudies/PulseClubCS/PulseClub - Case study.pbix.

Power BISQLData ModellingDAXData VisualisationFictional Dataset
📊 Interactive Dashboard
PulseClub dashboard preview — page 1

Sneak peek — click "Interactive Dashboard" above to explore the full report

Skillset

35+ completed courses across Data Engineering, Machine Learning, Analytics, and Software Development. Strong sense of ownership — I love building things end-to-end and have a keen eye for detail.

Data Engineering
PythonSQLMS SQL ServerSSISDatabricksInformaticaBigQueryAWS S3ETL PipelinesPandas
Analytics & Reporting
Power BIDAXLooker StudioGoogle Analytics 4Google Tag ManagerWeb Analytics
Machine Learning & AI
PyTorchKerasHugging FaceLLMsLlama 3Scikit-learnNLPComputer Vision
Backend & Dev
FlaskREST APIsC# / .NETJavaScriptReactNext.jsHTML / CSSNode.js
Tools & Platforms
GitGitHubVS CodeJupyterDocker (basics)Linux
Languages
Greek (native)English (fluent)Dutch (learning)Spanish (A1+)Croatian (A1)Italian (A1)French (A1)
Soft Skills
Ownership & AccountabilityCross-functional CollaborationLeadershipDetail-OrientedFast LearnerCommunication

Certifications

35+ certifications from DataCamp, Accenture, Google, NVIDIA, Coursera, LinkedIn Learning, and Udemy. Showing the 5 most recent.

🎓
Introduction to Deep Learning with PyTorch
DataCamp · Aug 2025
🎓
Object-Oriented Programming in Python
DataCamp · Aug 2025
🎓
Writing Efficient Python Code
DataCamp · Jul 2025
🎓
Introduction to Llama 3
DataCamp · Jul 2025
🎓
OOP in Python — Advanced
DataCamp · Jul 2025

Get in Touch

Always happy to connect — whether it's about a project, an opportunity, or just a good conversation. Find me on:

Interviewing Myself

What are your hobbies outside of work?

Working out and gaming — so yeah, pretty competitive by nature. But the goal is always to beat my past self, not anyone else. Getting 1% better every day is the real game.

Are you interested in learning new technologies?

Always. I love how technology evolves and becomes more user-friendly over time. Right now I'm deepening my data engineering skills and keeping a close eye on advances in ML and data visualisation. I am a fan of all-things new, whether that is a new language (Dutch, Spanish, Python, R), a new framework (Next.js, React, Vue), or a new tool (Looker, Power BI, Tableau). You will always find me tinkering with something new, and I love sharing what I learn with others.

What's the technical challenge you're most proud of?

Teaching myself a big chunk of HTML/CSS/JS with no formal front-end background — and then shipping real projects with it. It proved to me that passion has no ceiling. Also, later in my career, I got to create a full and meaningful Looker report with all sorts of commercial and ad/campaign data that is still being used today. That was a big moment for me.

What do you value most about a team?

Clear communication and smart task allocation. A well-organised team and a team with clear communicators doesn't just deliver — it teaches and learns as it goes. That knowledge-sharing dynamic is incredibly powerful.