Education:
Le Wagon Bootcamp
Portfolio Projects:
BeatsClub Mobile Website, Celebs4U Mobile Website
Education:
Le Wagon Bootcamp
Portfolio Projects:
BeatsClub Mobile Website, Celebs4U Mobile Website
TensorFlow, Scikit-Learn, Pandas, Numpy, SciPy
Flask
Experience:
GUI Developper
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AJAX
Stimulus
jQuery
Portfolio Projects:
Inception (Personal Portfolio Website)
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Frameworks:
Bootstrap
Frameworks:
Bootstrap,
Sass,
SCSS
Experience:
- Data Analyst - IFOP
- MEng Thesis - NTUA
[more...]
Experience:
- Jr ML Engineer |
4cast-team
Portfolio Projects:
- BeatsClub Mobile Website
[more...]
Boost
- Data Manipulation
- Reproducible Research
- Machine Learnjng
- NLP
Experience [more...]
Showcasing some of my best work
Beats Club Mobile Website Prototype
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Beats Club is a music community social media prototype that was developed during my Le Wagon Full Stack Web Development Bootcamp. I worked on this project with a team of four peers, using Ruby on Rails, HTML, CSS, and JavaScript. The project aims to provide a platform for music enthusiasts to discover new music, connect with other music fans, and share their news, discoveries and ideas. The user interface is clean and modern, and it's easy to navigate. However, due to the time constraints and the scope of the project, the website is not designed to be fully responsive but it is intended to be used as a mobile device web app. The website is hosted on Heroku, a cloud platform that enables easy deployment and management of web applications.
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VisROC 2.0
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VisROC 2application project is a software development initiative resulting from a research collaboration between Coventry University, Paris Nanterre University and the University of Athens. As developer fo the project, I transcribed the mathematical algorithm from FORTRAN to Python, and developed a cross-platform standalone GUI application that automates and visualizes the diagnostic accuracy of binary quantitative tests. The application is designed to work on Windows, macOS, and Debian-based Linux operating systems, and it was built using Python and Tcl/Tk framework. The code for the application is available on Github and it is open-source, allowing for easy collaboration and modification. The project resulted in the publication of a scientific paper in the journal Computer Physics Communications, and it showcases my skills in software development, particularly in the use of Python and GUI frameworks, as well as my ability to work on research projects and contribute to scientific publications.
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VisROC 2.0 Web App
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VISROC 2.0 Web App is developed using R and Shiny framework, designed for visualizing diagnostic accuracy of binary quantitative tests. The application is user-friendly and it is intended to be used in various disciplines, including medicine, physics of complex systems, geophysics, meteorology. This application was developed as a research project in collaboration with researchers from Coventry University, Paris Nanterre University, and the University of Athens (Computer Physics Communications). To enhance the functionality of the application, I integrated additional JavaScript scripts and Bootstrap components within the Shiny framework, allowing for a more dynamic and interactive user experience. The application is hosted on shinyapps.io, a platform that allows easy deployment and management of Shiny applications.
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Next Word Prediction
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NLP Next-Word Prediction App is a web application that utilizes natural language processing (NLP) techniques and pre-trained models (based on an optimized stupid Back-off (λ=0.4) N-gram frequency algorithm) to predict the next word in a sentence. The application is built using R and Shiny framework, offering a user-friendly interface for visitors to input their own sentences and get the prediction of the next word. As a developer, I implemented NLP techniques and pre-trained models to create a functional and user-friendly web application. This project showcases my ability to work with NLP and to implement pre-trained models in a Shiny application, making it a valuable tool for potential employers looking for developers with strong NLP and web development skills. The application is hosted on shinyapps.io, a platform that allows easy deployment and management of Shiny applications.
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Inception
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Inception is my personal portfolio website. It was created to highlight my skills and experience as a Full Stack Web and Software Developer, with a special focus on software development. Using HTML, CSS, and JavaScript, I designed and developed a responsive website that is easy to navigate and visually appealing. The website is served by Nginx web server software, ensuring high performance and stability. Visitors can find information about my background, education, and experience, as well as a selection of my projects. The website is SEO & Speed Optimized, and designed to work on various screen sizes and devices, such as desktop computers, laptops, tablets, and smartphones, using media queries and responsive design. It also includes a working Ajax contact form, allowing for easy communication with potential employers or clients. The contact form is secured by a CAPTCHA, which helps to prevent spam and bots, allowing for only legitimate inquiries to reach me.
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Feel free to contact me anytimes
Always available for freelance work if the right project comes along, Feel free to contact me!