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👋 Hey there! I'm Praxitelis-Nikolaos Kouroupetroglou!

A passionate Data Scientist from Greece

praxitelisk

💡  I like to explore new technologies and develop software solutions and quick hacks.
🎓  I studies Computer Science Data and Predictive Analytics.
🌱  I'm on track for learning more about Artificial Intelligence, Data Science, and Cloud Solutions.
✉️  You can shoot me an email at [email protected]! I'll try to respond as soon as I can.
📄  Please have a look at my Résumé for more details about me. I'm open to feedback and suggestions!

Night Coding

👨‍💻 All of my projects are available at praxitelisk.github.io

🤝🏻Connect with me:

praxitelisk praxitelisk @praxitelisk

🛠 Languages and Tools:

git mongodb mssql mysql
oracle pandas postgresql python
scikit_learn seaborn sqlite tensorflow

praxitelisk

Praxitelis-Nikolaos Kouroupetroglou's Projects

a-b-testing-and-beyond icon a-b-testing-and-beyond

Information and content associated with "A/B Testing and Beyond", a continuing eduction certificate offered by the University of San Francisco's Data Institute.

dand-p2-wrangle-openstreetmap-data-sql icon dand-p2-wrangle-openstreetmap-data-sql

Used data wrangling techniques to assess the quality of London City OpenStreetMap dataset for validity, accuracy, completeness, consistency and uniformity. (Python, SQL, data verification, data cleaning.

dand-p4-test-a-perceptual-phenomenon icon dand-p4-test-a-perceptual-phenomenon

Udacity DAND Project: Test a perceptual phenomenon, analyzing the Stroop Effect comparing the statically significant difference between groups exposed in different aspects of the Stroop effect using inferential statistics

dand-p6-create-a-tableau-story icon dand-p6-create-a-tableau-story

In this data analysis project, I have explored the Prosper dataset and used Tableau to create my visualizations. Prosper is a peer-to-peer platform that lends money and its goal is to connect people who need money with those people who have the money to invest.

data-science-interview-resources icon data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

dont-overfit-ii icon dont-overfit-ii

Kagglers have 20,000 rows of continuous variables, and a mere handful of training samples. Once again, we challenge you not to overfit. Do your best, model without overfitting, and add, perhaps, to your own legend.

financialdashboard icon financialdashboard

FinancialVue Dashboard is a powerful and intuitive financial management tool designed to help users visualize and analyze their financial data. Built with Streamlit, this dashboard provides real-time insights and customizable reports, making it easier than ever to track expenses, manage budgets, and forecast future financial trends.

greek-electric-load-forecasting-ipto icon greek-electric-load-forecasting-ipto

This repo contains the code for my postgraduate thesis dealing with Short-term Load Forecasting, predicting the electric load demand per hour in Greece, developed in R, RStudio, R-markdown and R-Shiny using daily load datasets provided by the Greek Independent Power Transmission Operator (I.P.T.O.). A presentation of the thesis' results can be found at the following website:

hospital-xml-dtd-xmlschema icon hospital-xml-dtd-xmlschema

This repository contains an xml hospital file which describes the information inside a generic hospital. The xml file follows both DTD and XML-Schema pattern

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