Hey!
I am Konstantinos Kyrtsonis!
I love programming, as well as playing music, hiking and learning new things!
Feel free to get in touch or take a look at my past work below.
Portfolio
A selection of cool stuff I have worked on.
Data Science Projects
Top data science projects I've worked on
Solar panel efficiency
This is the final project during my 3 month bootcamp studies at Schaffhausen Institute of Technology. It was a collaboration with Nispera AG Zurich.
Skills: R, Exploratory Data Analysis, gplot, dplyr
Point Cloud Semantic Segmentation
Point Cloud Classification with PointNet. Input of dataset with point clouds of different objects. Creation of the PointNet architecture from the bottom, train it on the dataset, and then do predictions on new point clouds that the neural network has not seen before.
Skills: Python, Keras, Tensorflow
Concrete Crack Detection
This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of the paper by Young-Jin Cha and Wooram Choi Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
Skills: R, Exploratory Data Analysis, gplot, dplyr
Predicting Home Prices
This data science project series is about building a real estate price prediction website. First, I built a model using sklearn and linear regression using Melbourne home prices dataset from kaggle.com.
Skills: R, Exploratory Data Analysis, gplot, dplyr
Credit Card Transactions Classification
Given a dataset of credit card transactions. The dataset contains 8500 customers and their activity over a 6-month period. Each transaction is characterized by 18 features described below.
Skills: R, Exploratory Data Analysis, gplot, dplyr
Predictive Maintenance Machinery
Business-critical machines of Swiss pharmaceutical company are maintained on a fixed schedule. Need for predictive maintenance to avoid unnecessary losses...
Skills: R, Exploratory Data Analysis, gplot, dplyr
Skills
What I know
As a result of my perpetual curiosity, I have practical experience with a wide range of technologies including:
For use with concepts such as:
Qualifications
To feed my hunger for learning, I study the Data Science Technology and Innovation postgraduate Program part time (Top 15 worldwide in 2023), while working as a Data Scientist full-time. I have also participated in Kaggle competitions and hackathons, and work independently on projects in my free time:
- Data Science, Technology and Innovation MSc at the University of Edinburgh
- Data Science Bootcamp from Constructor University
Contact
Have work opportunities? Want to collaborate on a project? Need advice? Or maybe grab some coffee?
You can shoot an email to kyrkost@outlook.com