Stefania Patsou

Software Engineer · Post-graduate student

Backend Developer · Data Science & Bioinformatics

Piraeus, Greece · stefania.patsou@hotmail.com

I am currently a software engineer, specialized more in Back-end development. I seek mostly self-growth through the job and post-graduate environment. I am passionate to discover new skills regarding data-science and bioinformatics, from which I will be guided, reaching new opportunities ^.^

Experience

Web Developer

Vodafone Greece
  • Development in a large scale project of Vodafone. Configured ELK stack.
  • Coding in Java (using Oracle's ATG Commerce), Quarkus microservices and Spring Boot.
  • Coding in groovy (using Oracle’s WCS), trained in NodeJS.
June 2020 - Present

Full-time | Athens, Greece

Software Analyst

Cognity
  • An external partner - contractor of Vodafone Greece.
  • Backend developer, coding in Java (using Oracle's ATG Commerce).
  • Grasped the business logic behind Vodafone's products (plans), CRM and Siebel systems.
October 2018 - May 2020

Full-time | Athens, Greece

Education

National and Kapodistrian University of Athens

Masters of Science
Data Science & Information Technologies
Bioinformatics – Biomedical Data Science

GPA: 9.05

September 2019 - Present

National and Kapodistrian University of Athens

Bachelor of Science
Informatics & Telecommunications
Computer Science

GPA: 7.27

September 2014 - February 2019

Third High School of Piraeus

Sciences Direction

GPA: 18.8

September 2011 - August 2014

Skills

Programming Languages

C, Java, MATLAB, Assembly, HTML & CSS, PHP, Python, MYSQL, XML, C++, JSP, JS, jQuery, Bootstrap, JSON, R, groovy

Programming Tools

Android Studio, IntelliJ IDEA, Eclipse, MYSQL Workbench, Jupyter Notebook, Microsoft Office, StrAPI, SoapUI, Git, Insomnia, Postman, Kubernetes, Docker

Programming Frameworks etc.

Quarkus, SpringBoot, TMF API, Django, Linux/Windows, xv6 Kernel, Oracle’s ATG, Oracle's WCS, ELK Stack

Languages
  • Greek | Native Language
  • English | Excellent C2 Michigan ECPE
  • German | Intermediate Β2 ΚΠγ

Workflow
  • Agile Development & Scrum
  • MVC Framework
  • Project Management

Projects

Machine Learning - Neural Networks Exercise

Data Science & Information Technologies
  • Implementation in Jupyter Notebook with Python 3+. Apply Neural Networks to MNIST & SVHN datasets.
  • Check with plots and metrics, how accuracy of the Neural Network changes depending on how many Hidden Layers exist.
See Project
2019

Bachelor Thesis

Informatics & Telecommunications
  • "Street Advisor": an android app using IoT to calculate next position of pedestrian user. It also notifies user for future incident with alerting.
  • Programming languages used: Java, Python.
  • Server-client setup: clients are the users and server is a PC which receives messages, calculates and sends back information to users.
See Project
February 2018 – February 2019

Software Development Course

Informatics & Telecommunications
  • Sigmod 2018 contest as course project. C implementation with unit testing. Team project.
  • Implemented most of the project with the other team members, helping with unit test framework CuTest.
  • Can be executed with threads. Radix Hash Join algorithm involved. The target was to improve time applying different number of threads and datasets.
See Project
October 2018 – February 2019

Certifications

  • Artificial Intelligence Nanodegree | Udacity, April 2020 | See Certificate
  • Android Developer Nanodegree | Scholarship by Google | Udacity, August 2018 | See Certificate
  • Android Basics Nanodegree By Google | Scholarship by Google | Udacity, June 2017 | See Certificate