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Nikolai Denisov

Hi there, I'm Nikolai, a Linux user and experienced Python developer with a passion for machine learning and deep learning. My areas of interest include using PyTorch for deep learning and webscraping.

Skills

  • Strong knowledge of Python
  • Experience with SQL
  • Interest in machine learning and deep learning using PyTorch
  • Comfortable with webscraping

Projects

  • 🔍 Churn Prediction: A machine learning project that predicts churn rates using various algorithms.
  • 🏥 Medical Segmentation: A deep learning project that performs segmentation on medical images.
  • 💬 Sentiment Analysis: A machine learning project that performs sentiment analysis on text data.
  • 🏙️ Telegram Rent Price Bot: A Telegram bot that gives daily updates on rent prices in Central Asia.

Education

  • Specialist Degree in Aerospace Engineering (2017-2023)

Experience

  • Junior VR Developer at BSTU VR Lab (2022-present)

I am currently learning natural language processing with machine learning and deep learning, as well as improving my skills in machine learning deployment and Telegram bot development.

Feel free to check out my LinkedIn profile to get in touch with me and learn more about my experience. You can also check out my GitHub profile to see some of my work.

Nikolai's Projects

bassmodel icon bassmodel

Bass model, which is the base for optimal subsidy project

churn_base icon churn_base

My initial ML project using sklearn and gradient boosting to predict churn

medicalsegmentation icon medicalsegmentation

This notebook is dedicated to analysis of different segmentation models and the loss functions

nvim_config icon nvim_config

This is my templates for NeoVIM, configs for different task.

stardist icon stardist

StarDist - Object Detection with Star-convex Shapes

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