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alex-sokolov2011/README.md

WELCOME! 👋

I am Alexander Sokolov. Belgrade, Serbia. I bring 4 years of commercial data science experience, enriched by 2 additional years of specialized Data Science training. With a strong background in mathematics, I excel at transforming complex data into actionable insights. My experience spans quality EDA, diverse machine learning applications, data report visualization, and proficient SQL command. I hold the title of Kaggle Expert, ranked 15th in Yandex ML training. With 15 years of business acumen from roles at P&G, 2GIS, and Coca-Cola, I bring analytical and leadership strengths to each project.

Stack: Python (Pandas, NumPy, Pytest, black, pylint, SciPy, math, tqdm) – ML (Scikit-Learn, LightGBM, XGBoost, Catboost, LAMA, AutoWoE, SHAP) – RecSys (Surprise, QRec) – DL (TensorFlow, Keras, PyTorch) – RL (GYM) – NLP (pymorphy2, NLTK) – CV (albumentations) – Visualization (Matplotlib, Seaborn, Plotly) – Parsing (bs4) – Geo (Shapely) – MLOps (MLflow, Airflow, Docker, PySpark, AWS, GCP, Evidently, Grafana, Git + pre-commit, BitBucket, OpenShift, Jenkins, SonarQube, Streamlit, Flask, Heroku) – DE (SQL (PostgreSQL, MySQL), Hadoop, Hive, Sqoop, Bash) – Other (pulp, cvxpy, pickle, os, shutil, zipfile) – Agile (JIRA, Confluence, Slack) - Linux
IDE: VS Code, Jupyter Notebook, Zeppeline, PyCharm
Kaggle: https://www.kaggle.com/sokolovaleks
Pet projects portfolio

↪️✌️ CV and LinkedIn profile
📩 If you'd like to ask any questions about me or my study/work or would like to collaborate on a project, feel free to call or write. The easiest way to reach me is via Telegram.
📫 But those who still prefer hardcore are welcome to write me an e-mail:[email protected]
Well, if you liked any repositories, then I would be grateful if you mark them with st⭐️⭐️⭐️rs.


Добро пожаловать! 👋

Я Александр Соколов. Живу в Белграде (Сербия). У меня 4 года коммерческого опыта в области Data Science и еще 2 года специализированного обучения в этой сфере. Обладая сильной математической базой, я превращаю сложные данные в полезные инсайты. Мой опыт включает качественный EDA, применение алгоритмов машинного обучения, визуализацию отчетов и уверенное владение SQL. Я являюсь Kaggle Expert и занял 15-е место в ML тренировках Яндекса. С 15-летним опытом работы в бизнесе в таких компаниях, как P&G, 2GIS и Coca-Cola.

↪️✌️ Мое резюме и профиль на LinkedIn
📩 Проще всего связаться со мной через Telegram - звоните, пишите, не стесняйтесь.
📫 А тем кому привычнее хардкор, пишите на e-mail:[email protected]
Ну и если вам понравились какие-нибудь репозитории, то буду благодарен, если отметите их ⭐️⭐️⭐️-дами


My stats:

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  1. 100_Numpy_exercises_Rus_ver 100_Numpy_exercises_Rus_ver Public

    100 упражнений по numpy версия на русском

    Jupyter Notebook 160 29

  2. ds_interview_prep_resources ds_interview_prep_resources Public

    Comprehensive resources for data science interview preparation: assignments, math problems, logic tasks, live coding examples, and leetcode breakdowns.

    Jupyter Notebook 36 1

  3. pet-projects pet-projects Public

    Collection of Data Science PET Projects (Сборник PET-проектов Data Science)

    Jupyter Notebook 84 16

  4. diplomas_and_certificates diplomas_and_certificates Public

    diplomas and certificates

    3