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Hi, I'm Aleksey

a data science student at Higher School of Economics university, see my resume for more information

Hi, I'm Ryabykin Aleksey, an obsessed data scientist and tech enthusiast from Russia. My passion for software and computing is the creation of concepts that are brought to life through stunning mathematical solutions and elegant interfaces.I also enjoy compiling mathematical theory into a few worksheets and attempting to connect its applications to real data.

I'm 22 years old and graduated with a degree in Bachelor of Applied Math at Moscow Aviation Institute. I am currently studying in two master's programs. The first is data science at the Higher School of Economics' Faculty of Computer Science. The second program is Artificial Intelligence and Interdisciplinary Research at the Moscow University of Physics and Technology's School of Applied Mathematics and Informatics. I am happy to answer any questions you may have.

🛠  Stack:

Tools, languages, and other things that I like to work with.

Python PyTorch numpy Pandas C++ Selenium Markdown OpenCV HTML CSS3 RStudio Docker LATEX

💻  My workspace

os soc ram graphics ssd

⚙️  Softwares I'm Familiar with :

📜 Education
  • 📖  Master of Applied Mathematics and Informatics (Current)
    📆  2022 - today
    📍  HSE - Moscow, Russia
  • 📖  Master of Informatics and Computer Engineering (Current)
    📆 2022 - today
    📍 MIPT - Moscow, Russia
  • 📖  Bachelor of Applied Math
    📆  2018 - 2022
    📍  Moscow Aviation Institute - Moscow, Russia

⚡ Recent GitHub Activity
Aleksey's Activity Graph


🤝🏻  Connect with Me

Telegram Kaggle Email

Aleksey Ryabykin's Projects

belts icon belts

Course's assignments MIPT-Yandex Modern C++

cancer_classification icon cancer_classification

Kaggle competition (UBC Ovarian Cancer Subtype Classification and Outlier Detection (UBC-OCEAN))

denoising_experiments icon denoising_experiments

The full pipeline to perform experiments and compare with the existed SoTA-models for the denoising task.

diploma icon diploma

My diploma thesis about the recreation of the public opinion by the neural networks sentiment models and topic modeling

dl icon dl

Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)

dls icon dls

Deep Learning School

g-loss icon g-loss

G-Loss: A loss function with gradient information for super-resolution

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

harris-loss icon harris-loss

Harris response function as loss function for image superresolution

hse_courses icon hse_courses

There is a repository with my materials from lectures and seminars. Also, there you can find some of my solved assignments.

medium_scrapper icon medium_scrapper

Library for scrapping articles from the medium using Selenium and BeautifulSoup

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