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My name is Vladimir Mikheev. I am Data Scinetist with background in Cognitive Science.

• 2020
  • Pupillometry and remapping (2020)
• 2021
  • Coursera analytics (2021) and web-site with all information- analysis of student's behaviour on 58 Coursera courses.
• 2022
  • 8 EEG plots for user study
  • Interactive plots
• 2023
  • EEG UX study and web-site with all information - survey analysis of the EEG visualisation software
  • ERPExplorer.jl - Julia library to explore EEG data in dev mode.
  • UnfoldMakie.jl - Julia library to viuslise Event-related potentials.

• Coursera certificates

• School 21 projects

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  C projects:

  • printf - recreation of printf function from scratch with float numbers;
  • push_swap - sorting stack using two sorting algorithms and additional stack;
  • fdf - basic visualization of objects;
  • lem_in - several graph algorithms to put ant colony through the labyrinth without errors;
  • corewar - game of code examples in assembler;

  System administration projects:

  • snow-crash - basic disassembling, cybersecurity and vulnerability detection of shell scripts;
  • docker - basic Docker projects.

  Cybersecurity projects:

  • snow-crash - basic cyberattacks;
  • rainfall - analyses and reverse engeneering of binary files;

  Python projects:

  • dslr - logistic regression from scratch;
  • multilayer-perceptron - perceptron from scratch;
  • total-perspective-vortex - visualization and analysis of brain activity using mne library;
  • Django Piscine - bunch of exercises for web-site creation using Django library.
  • tweets - basic NLP for tweets (preprocessing and sentiment analyses).
  • churn - churn prediction with various ML methods.

• Sber University

  • Final project for Data Science course

• Robot_dreams

  • Time Series and Forecasting

• Criteo - analyses of a product sales over time.

• Summer School of Bionformatics - 2021