Dimitris Fanis | Portfolio

About Me

Get to know me!

I'm an Information Management graduate with a master’s degree from the Computer & Information Sciences department of Strathclyde University. In the past, I gained professional knowledge in Financial Accounting from previous university studies (BSc) and work experience.

After exploring a wide range of fields and applications around Data Science, Machine Learning, and Web Development, I joined and completed La Fosse Academy's training on Full Stack Web Development as a tech trainee. Currently, I'm working in the Data Science & Technology department of News Corp as a Data Analytics Engineer.

Contact

Indicative Skills - Tools

Python

SQL

Data Science

Machine Learning

Google BigQuery

PySpark

Looker Studio (Google Data Studio)

MS Power BI

HTML/CSS

JavaScript

Git/GitHub

Bash

Projects

A man in front of a computer with 3 monitors

Photo by Max Duzij on Unsplash

Various Data Science Scripts

A collection of coding scripts, notes, and mini-projects with reference to a series of Data Science and Web Development subjects, programming concepts and foundations, and miscellaneous tech topics.

Photo by Luke Chesser on Unsplash

GitHub Repo Search Page

This is a project about constructing a minimalist version of a GitHub repository page. The user can provide a GitHub username and get a list of the associated repositories. Users can also get extra information regarding the repository's creation date, the stars, the number of forks, as well as the number of issues for those repositories.

Photo by Domingo Alvarez E on Unsplash

Emotion Recognition in Movie Synopses

Sometimes, movies evoke strong and deep emotions to their viewers, and these emotions may vary. Is the notion of emotion correlated to users' watchlists? This is a Machine Learning project that automatically predicts a set of emotions and then tries to give an answer to that question via statistical analysis.

Photo by Alexander Shatov on Unsplash

Exploratory Data Analysis: Spotify Songs

This is an Exploratory Data Analysis project regarding the popularity of songs derived from the last seven decades (1950 - 2010) with various Regression and Classification problems.

Photo by Pathum Danthanarayana on Unsplash

Analysis of the Google Play Store Apps

In this project, data analysis was performed with regard to the popularity attributes of the apps on Google Play Store; Google's official pre-installed app store on Android-certified devices.

Photo by Markus Spiske on Unsplash

Classification & Prediction of Handwritten Digits in the Kannada Language

This is a Machine Learning project using Deep Neural Networks (DNNs) and Convolutional Neural Networks (CNNs) with TensorFlow and Keras in order to classify and predict an alternative MNIST digits database, that of the Kannada hand-written digits.

Hey, My name is Dimitris Fanis