timofeiryko / modernbioquest

Refactored and redesigned version of my site for collecting questions of biological opympiads

About

My name is Timofei Ryko and here you can find a list of my coding and data science skills and my portfolio. Complete information about my work experience, achievements, etc can be found in my Master CV.

📫 How to reach me?

My nickname is timofeiryko on every platform except instagram (in inst it is rykotimofei, but it will be fixed soon) and I am just Timofei Ryko everywhere.

• LinkedIn
• Facebook
• Telegram
• Instagram
• Twitter
• VK
• Contact me by email

What do I know and can do?

Programming languages

• Python — advanced level
• R — medium level
• MATLAB — medium level
• Rust — basic knowledge
• Java — basic knowledge

Markup and frontend

• HTML — medium level
• Bootstrap — medium level
• CSS — basic knowledge
• JavaScript — basic knowledge
• Markdown
• LaTex

Skills

👨‍💻 Coding

• Python Asyncio — basic knowledge
• Web development
  • Django — medium
  • FastAPI — basic
  • SQLAclhemy — medium
  • AIOGram — advanced (telegram bots)
• Web scraping and API
  • Working with RESP API, JSON /LXML
  • Beautiful Soup
  • Selenium — medium
• Bash and Unix
• Git and GitHub

📈 Data Science

• Explorational Data Analysis (EDA) and statistics
  • Pandas — advanced
  • Seaborn and matplotlib — advanced
  • Statsmodels, SciPy
  • SQL — medium level
• Machine learning
  • Scikit-learn — advanced (custom transformers, encoders, etc)
  • Boosting algorithms (XGBoost, CatBoost, LightGBM)
  • TensorFlow and Keras — basic
  • Automation with featuretools and auto-sklearn
  • Bayesian hyperparameter tuning with Optuna
  • Simple NLP with SpaCy, tokens clusterization techniques
  • Computer Vision (application to histopathology)

🧬 Bioinformatics and computational biology

• Single-cell analysis with Scanpy
• Working with Entrez APIs using biopython utilities
• ODE modeling with MATLAB
• Ensembl Variant Effect Predictor with plugins configuration
• Genes annotation with biomart, Ensembl REST API and other tools
• Analyzing sequence association data

✅ Portfolio

• BioQuest  —  website on Django
  • Django 4
  • Bootstrap 5
  • OOP principles
• EDAwesome  —  my Python library for quick and nice explorational data analysis
  • EDA: pandas, seaborn, matplotlib
  • Packaging with poetry
• Home credit dataset analysis and loan repayment prediction  —  capstone project from the Turing College
  • EDA: pandas, seaborn, matplotlib
  • Scikit-learn  —  advanced (custom transformers, encoders, etc)
  • Automation with featuretools and auto-sklearn
  • Bayesian hyperparameter tuning with Optuna
  • Simple NLP with SpaCy, tokens clusterization techniques
  • I got 93/100 on code review at Turing College
• Podcast analysis  —  data analysis project from the Turing College
  • SQL
  • EDA: pandas, seaborn, matplotlib
• Science parser telegram bot
  • SQLAclhemy
  • AIOGram
  • Python Asyncio
  • Working with RESP API, JSON /LXML
  • Beautiful Soup
  • Selenium
  • Working with Entrez APIs using biopython utilities
• Tgscraper  —  Python package for telegram scraping
• Modeling for the iGEM competition
  • ODE modeling with MATLAB
• SMTB bioinformatics project
  • Analyzing sequence association data
  • EDA: pandas, seaborn, matplotlib
  • Beautiful Soup
  • Ensembl Variant Effect Predictor with plugins configuration
• Computer vision for histopathology
  • EDA: pandas, seaborn, matplotlib
  • TensorFlow and Keras
  • It was the final project for the course «Machine Learning in Synthetic Biology» at the University and I got an A for it
• Application of SpaCy to kaggle-nbme competition
• CITEseq data analysis
  • Single-cell analysis with Scanpy
  • Genes annotation with biomart, Ensembl REST API and other tools
• Outlook emails parser (the source code is unavailable for legal reasons)
• Machine learning system for determining SpO2 by video (the source code is unavailable for legal reasons)