I currently speak the following languages:

• Python
• HTML, CSS, and Javascript
• PHP
• SQL
• LaTeX
• VBA

And I'm always eager to learn new ones.

Below are listed some of my contributions.

• Before Christmas 2022, I wrote a Secret Santa app for my colleagues. Through the app, everyone drew randomly a person to whom they offered a gift while keeping their identity secret. I coded the backend using Node.js and a Redis database. I used vanilla JavaScript for the frontend.

  • Page link: https://secret-santa-igad.onrender.com/
  • GitLab repo: https://gitlab.com/igad/secret-santa
  

• I contributed to the creation of the webpage of the Polanie Polish folk dance group, of which I was a member while living in Luxembourg.

  • Page link: https://polanie.lu
  

• For December 2021, I created an online Advent calendar for my close friends. The idea was to share a little surprise every day, in the wait for Christmas.

  • Page link: https://ileskaa.github.io/advent-calendar
  • GitHub repository link: https://github.com/ileskaa/advent-calendar
  

• I created a flashcard app that can be used to study programming concepts. Node.js, Express, and Pug were used in the process.

  • Page link: https://computing-flashcards.onrender.com
  • GitHub repo: https://github.com/ileskaa/computing-flashcards
  

• Work in progress: a website about the evolution of programming languages, built using PHP and PostgreSQL.

  • GitHub repo: https://github.com/ileskaa/programming-language-history
  

My threehouse profile: https://teamtreehouse.com/profiles/akseliingervo

• Creation of a maze game using Python and the Pygame library.
  • GitHub repo: https://github.com/ileskaa/robo-man
  

• Pandas and Numpy for data manipulation
• Matplotlib and Seaborn for data visualization
• scikit-learn for linear regressions, random forests, k-nearest neighbors, and support vector machines
• Beautiful Soup for web scraping
• what I'm currently learning: TensorFlow for neural networks

I've taken part in a few Kaggle machine learning competitions:

• Titanic:
  • using linear regression: https://github.com/ileskaa/titatic-linear-regression
  • using random forests: https://github.com/ileskaa/titanic-random-forest

I successfuly passed the IBM data science professional certificate, which can be viewed on the "Licences and certifications" section of my LinkedIn profile: https://fi.linkedin.com/in/akseli-ingervo

My CV, written in LaTeX: https://github.com/ileskaa/CV

You can also check the cover letter template that I created: https://github.com/ileskaa/cover-letter-template

In the context of my work as internal auditor in the financial sector, I've written many macros, including the following:

• folder drilldowns
  • e.g., a macro to automatically fill a workbook based on 500 job descriptions
• automatically converting .msg files to pdf files
• fusioning hundreds of files classed by date into a single document in order to perform data analysis
• converting PDF files to .docx, and then extracting tabular data
• updating Excel workbooks based on CSV files

I use Linux as my main operating system. I have used several distributions over the years, including Debian, Ubuntu, Fedora, and Kali. I am also very familiar with the Windows environment.

View my CodinGame profile.