stesiam
    • Greek
  • Home
  • About me
  • Posts
  • Web Projects
  • Software
  • Material
  • Gallery
  • CV

My Resume

Read my curicculum vitae online

In case you want to download my CV, you can get it by clicking this button: Download my Curriculum Vitae (CV)


STESIAM

Statistics Graduate

stesiam [at] proton [dot] me stesiam.com @stesiam @stesiam Athens, Greece

My name is Stelios! I am a recent graduate of Statistics and Insurance Department. R is my go-to tool for my data analysis tasks. I have some hands-on experience, by writing notebooks and developing some simple Shiny apps. I would like to further enhance my knowledge - skills, concerning R, in a working environment.

PROJECTS

Scraping data

GitHub Repo

On this project I scrape the register of Insurance companies which is hosted on Bank of Greece’s website. The dynamic nature of the table led to use a combination of rvest and RSelenium. On every page iteration I get the table data and on every row iteration I automate a click on every insurance companies’ profile in order to scrape their address wherever it is provided.

Data Visualization

GitHub Repo

For at least two years I have been practicing on data visualization using R and ggplot. Those years I have taken part to a lot of challenges such as #TidyTuesday, and #30DayChartChallenge.

Data Analysis

Article URL

An analysis based on Kaggle’s recent survey (2022). My analysis focuses primarily on Greek users. Comparing them with the rest users of Kaggle, I came up with interesting facts as the comparatively low representation, significantly higher age and expeirience and lower representation of women in contrast to the average participation of women in Kaggle.

ML Web Applications

Web App URL

Based on Greek Developers’ Wages survey, I make the appropriate cleaning of data in order to build a regression (XGBoost) model with tidymodels. The app can predict the wage of a web developer based on some characteristics such as years of programming experience, employer’s country, etc. The accuracy of my model can be characterized mediocre due to the fact that the dataset is relatively small, as it is consisted of 800 participants. Light enhancements, concerning model’s accuracy, have been observed in case of larger grids and combining models.

EDUCATION

  • BSc. in Statistics and Insurance Science
    University of Piraeus
    Graduated at June, 2025

During my studies, I was taught several statistics-related courses and had some exposure to statistical programs. Indicatively,
- Probabilities
- Statistics: Estimation Theory
- Non-parametric Statistics
- Sampling and
- Statistical Programs using R
are some of the most influential courses that helped me develop my knowledge regarding Statistics.

PROGRAMMING

  • R (Rstats)
  • SQL (dbplyr)
  • JavaScript (DOM)
  • Python

SKILLS

  • Linux (Ubuntu)
  • Git
  • LaTeX
  • HTML/CSS
  • Docker
  • Web apps (Shiny)
  • API (plumber / FastAPI)
  • Data analysis
  • Machine learning

LANGUAGES

  • Greek (native)
  • English (C2)

The website is being hosted on GitHub Pages

Access my site’s Source Code

© stesiam, 2022-2026

Made with Quarto, babelquarto,
much love and patience