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eburakova/README.md

Hello there! I am Ekaterina (Katja), I am 30 y.o. and just got my Dr. rer. nat. title for a work in solid-state protein NMR spectroscopy.

πŸ‘©β€πŸŽ“ In my doctoral years, I focussed on feature engineering in protein structural biology. I adapted of existing models of structure - proterty relationship for a specific case of highly statically disordered samples. I explored and proposed scores for the degree of local disorder. This was a largely interdisciplinary project that combined the domains of quantum physics, molecular biology as well as data science.

🐠 Graduated from the Data Science Bootcamp @ neue fische, where I practiced my old skills and learn plently of new ones.

🌱 In my future career, I would like to apply methods of data science to solve problems in life sciences or engineering.

πŸ“¨ If you are looking for a teammate - drop me an email! [email protected]

πŸ“ Bremen, DE

NAVIGATION

Data science

  • 🏎️ d-drivers - Data-driven search for traffic drivers. This is the graduation project at the neue fische Data science bootcamp (Apr 2024). Our team of five analyzed the internal content data of EFAHRER.com. We modelled the page impressions in the news feed and built a data app for the editorial managers.
  • πŸ”₯ fraud-detection - Analyzing energy consumption patterns to detect which clients have meddled with the electrical and gas counters.
  • 🏘️ eda-kc-housing - Analysis of price defining factors on the King County housing dataset for a mock client interested in investment into property development. EDA showcase prepared as a part of the DS bootcamp.

NMR

Side projects

  • geoname_matching - search engine for city names, tolerant to misspellings and outdated names.
  • tic-tac-toe - another showcase of my skills in Python development. This challenge was a part of the DS bootcamp.
  • Ask me about my personal tools for accounting and real-time transaction analysis.

Pinned Loading

  1. d-drivers d-drivers Public

    Data science graduation project on the dataset provided by EFAHRER.com

    Python 1

  2. eda-kc-housing eda-kc-housing Public

    EDA showcase on the Kind County housing data

    Jupyter Notebook

  3. nmr_utilities nmr_utilities Public

    Some useful tools for visualization and handling of NMR data, primarily, proteins

    Jupyter Notebook

  4. protein_heterogeneity_ssnmr protein_heterogeneity_ssnmr Public

    Scripts and test data relevant to my PhD thesis

    Jupyter Notebook

  5. geoname_matching geoname_matching Public

    Matching city names with the arbitrary query string.

    Jupyter Notebook

  6. fraud-detection-energy fraud-detection-energy Public

    Fraud detection in electricity and gas consumption powered by machine learning

    Jupyter Notebook