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CV_Pakhurov.html
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<body>
<h1 id="toc_0"><strong>Pakhurov Fedor</strong></h1>
<p>Moscow<br>
Mob: +7 (929) 575-77-55<br>
Email: [email protected]<br>
GitHub: <a href="https://github.com/fpkh">github.com/fpkh</a></p>
<h2 id="toc_1">Personal Profile Statement</h2>
<p><strong>Computer science</strong> sophomore, highly motivated to practically apply obtained theoretical knowledge in Advanced Mathematics and Programming at position of <strong>Data Scientist/ML Engineer</strong>. In my current studies, I participated in projects on model-view-controller database app and credit scoring app; side internship on credit scoring and data collection script. </p>
<h2 id="toc_2">Skills</h2>
<ul>
<li><p>Python (Level 3 Algorithms&Data Structures):<br>
— numpy, pandas, scikit-learn — active user;<br>
— xgboost, lgbm, seaborn, matplotlib, plotly — occasional user with documentation;<br>
— tensorflow keras, pytorch, nltk, bigquery — beginner. </p></li>
<li><p>MacOS zsh, Linux VM bash — daily usage, basic scripts.
</p></li>
<li><p>Conda venvs, Docker Containerization — satisfactory for Python projects.</p></li>
<li><p>C — along with Computer Architecture and Operating Systems course:<br>
— static/dynamic libraries;<br>
— synchronisation, interprocess communication;<br>
— users, groups, permissions. </p></li>
<li><p>HTML (basic understanding; mainly used for Python projects).
</p></li>
<li><p>C++ (Level 2.5 in ADS I'd say: overall competence and lack of understanding of some language-specific aspects):<br>
— stdlib;<br>
— Qt Framework (cross-platform apps). </p></li>
<li><p>Assembly (RISCV-32).</p></li>
<li><p>Markdown — current CV is written in it.</p></li>
<li><p>Russian (native), English (IELTS 7.5 ~ CEFR C1), French (CEFR A1).</p></li>
</ul>
<h2 id="toc_3">Education</h2>
<p>2022–2025 <strong>BS Data Science and Business Analytics</strong> <strong>LSE</strong><br>
<strong><em>Relevant modules:</em></strong></p>
<ul>
<li>Business and Management in Global Context;<br></li>
<li>Probability Theory;<br></li>
<li>Mathematical Statistics.<br>
<br></li>
</ul>
<p>2021–2025 <strong>BCs Applied Mathematics and Informatics</strong> <strong>HSE</strong> <strong>(GPA 5.77)</strong><br>
<strong><em>Relevant modules:</em></strong> </p>
<ul>
<li>Calculus and Differential Equations;<br></li>
<li>Linear Algebra;<br></li>
<li>Algorithms and Data Structures;<br></li>
<li>Computer Architecture and Operating Systems.<br></li>
</ul>
<p><strong><em>Relevant coursepaper:</em></strong> </p>
<p> "Program for Assessing the Creditworthiness of Borrowers Based on the Logistic Regression Algorithm": </p>
<ul>
<li>scikit-learn data prep + LogReg model;<br></li>
<li>Flask web-app;<br></li>
<li>Docker container;<br></li>
<li>version control via GitHub.<br>
<br></li>
</ul>
<p>2010-2022 <strong>Secondary education</strong> <strong>Language Gymnasium</strong> <strong>Gold Medal</strong> </p>
<h2 id="toc_4">Internships</h2>
<p>August 2022 <strong>Summer practice</strong> <strong>MobileScoring</strong> </p>
<p> <strong>BigData+ML research project:</strong></p>
<ul>
<li>Feature selection/engineering methods comparison (scikit-learn);</li>
<li>Classification model tuning and selection (sklearn.linear/.tree/.ensemble, XGBoost, LightGBM, CatBoost);</li>
<li>Proposition of company with employment of .parquet file format;</li>
<li>Rollout of 2 boosting-based on internal PSI platform.<br></li>
</ul>
<p>April 2023 <strong>Practice internship</strong> <strong>MobileScoring</strong></p>
<p> <strong>Data Scraping + Merging with existing database project</strong>:</p>
<ul>
<li>Python requests+BeautifulSoup4 for html content parsing;<br></li>
<li>lxml for parsing xml data;<br></li>
<li>Pandas for merging datasets.<br></li>
</ul>
<h2 id="toc_5">Hobbies</h2>
<p>Drummer with secondary professional education. Adore kart racing and non-fiction literature. Enjoy dealing with PC hardware. Typing with 60 WPM rate :)</p>
</body>
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