Praxitelis-Nikolaos Kouroupetroglou

Data Scientist

Kaggle•  June 2018 - Present

Data Science Learner @ Kaggle (Rank: Kaggle Contributor) Experimenting and expanding the Data Science / Data Analysis / Machine Learning / Deep Learning skills with hands-on datasets, competitions, real-world problems from Kaggle Data Science community.

Udacity

Machine Learning Enginner, Nanodegree•  May 2018 - January 2019

Understanding in-depth the Machine Learning modelling with an e-course and a curriculum which targets extensively in-depth in the concepts of Machine Learning. * Key Skills gained: Supervised Learning, Unsupervised Learning, Neural Networks * Key Skills gained / Curriculum: - Machine Learning Foundations - Supervised Learning - Unsupervised Learning - Deep Learning

Udacity

Data Analysis, Nanodegree•  December 2017 - September 2018

Building strong foundations to Data Analysis with the following e-course providing a curriculum which targets to explore many aspects of Data Analysis. * Key Skills Gained / Curriculum: - Descriptive Statistics - Intro to Data Analysis - Data Wrangling - Exploratory Data Analysis - Inferential Statistics - Intro to Machine Learning - Data Visualization in Tableau * Projects: - Bay Area Bike Share Data Analysis - Investigate a Dataset - Wrangle OpenStreetMap Data with SQL - Explore and Summarize Data - Test a Perceptual Phenomenon - Identify Fraud From Enron Email - Create A Tableau Story

Udacity

Deep Learning Foundation, Nanodegree•  January 2018 - June 2018

Expanding my Data Science horizons to Deep Learning by participating in an e-course with the curriculum which targets to build the main foundations of Deep Learning. * Key Skills gained / Curriculum: - Neural Networks, - Convolutional Neural Networks - Recurrent Neural Networks - Generative Adversarial Networks * Projects: - My First Neural Network - Image Classification - Tv Script Generator - Language Translation - Face Generation

Aristotle University of Thessaloniki, Thessaloníki

Data Science, MS•  September 2015 - September 2017

Taking part in a Computer Science Master program specialized in Data Science covering a curriculum of courses which targets in the concepts of Data Science offering courses to students who pursue a career in the field of Data Science and Machine Learning. The program ended with a Thesis: “Machine Learning techniques for Electric Load Forecasting”, which broaden my knowledge in the field of Predictive Analytics. Key Skills gained: • Data Analysis, Machine Learning, Text Mining, Sentiment Analysis, Big Data Mining Thesis: Machine Learning Techniques for Short-Term Electric Load Forecasting Thesis link: https://ikee.lib.auth.gr/record/294603/files/GRI-2017-20362.pdf Curriculum: Machine Learning Semantic Web Statistical Analysis Software Verification Advanced Machine Learning Advanced Data Mining Web Data Mining Social Network Analysis

University of Macedonia, Thessaloníki

Computer Science, BS•  September 2008 - June 2014

The first steps to Computer Science started with the following Bachelor degree with a curriculum dedicated entirely to introduce concepts of Computer Science. Numerous hard and soft skills gained and at the end of the program a Thesis with the title: "Multithreading Programming in Java" was completed, which expanded my knowledge in the field of Java and multithreading. * Key Skills gained: - Algorithms, Data Structures, Object-Oriented Programming, Databases, Artificial Intelligence, Statistics, Computer Architecture, Operating Systems. Thesis: Multithreading Programming in Java 7.0