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Achievement: Pull Sharkx2Achievement: Quickdraw

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Achievement: Pull Sharkx2Achievement: Quickdraw

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tmvfb/README.md

Hi there, I'm Igor 👋

LinkedIn Kaggle Codewars

Data Science student with over a year of experience in analysis and visualisation of industrial and scientific data. I am also enthusiastic about creating backend solutions in Python.

Short bio

  • Honours master's degree in Chemistry from Lomonosov Moscow State University (2020) 👨‍🔬
  • 2 years of work experience in clinical research (finance and clinical operations) 💊
  • Currently a student: Data Science MSc at Leuphana University of Lüneburg 🎓

How did I end up here? I have always enjoyed mathematics and data analysis — and I love solving real-life problems by writing code!

My current interests include understanding the whole data cycle in companies, from maintaining data infrastructure to data visualization. I also want to know more about how data science and deep learning in particular change natural sciences and medicine.

By now, I have completed the following online courses:

  • Data Science course by Yandex Practicum (10.2022 – 07.2023) (certificate)
  • Python web dev course by hexlet.io (10.2022 – 05.2023) (profile link)

Skills

Python PostgreSQL Pandas Scikit-Learn Django Bootstrap

Created projects with / currently studying:

Docker PyTorch PySpark HTML CSS JavaScript

Tools I use:

NeoVim GitHub WSL2 Jupyter Notebook

Pinned Loading

  1. dotfiles dotfiles Public

    Forked from mokevnin/dotfiles

    neovim config

    Lua

  2. gendiff gendiff Public

    CLI application for calculating diff between 2 text files via recursive algorithm

    Python

  3. taxi-trips-predictions taxi-trips-predictions Public

    Handling big data with PySpark and Docker

    Jupyter Notebook 2

  4. english-exercises-app english-exercises-app Public

    Django web app that generates English practice exercises from an uploaded text

    Python

  5. used-cars-dataset used-cars-dataset Public

    Comparison of gradient boosting and linear regression models on modified Kaggle dataset

    Jupyter Notebook

  6. gold-recovery-notebook gold-recovery-notebook Public

    Research project with comparison of 3 ML models for predictions of gold recovery from ore

    Jupyter Notebook