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WELCOME! 👋

I am Alexander Sokolov. Belgrade, Serbia. I'm 46. I have 2+ yearв of experience in production data science in Sber since June 2021. Now I am looking for a role in DS remotely. I completed two courses in Date Science 💻 in 2021 and 2023 (18 + 6 month). I worked as a math teacher in a high school in Israel and after that, I returned to Russia in 2019.
I received my knowledge in algebra, mathematical statistics and probability theory at the Faculty of Mechanics and Mathematics of NSU 📚 (specialty in Computational Mathematics) and developed it while working as a high school mathematics teacher in Israel. I have successful experience in pedagogical processes for adolescents and adults.

Stack: Python(Base (Pandas, Numpy, SciPy, Math, tqdm) – ML(Scikit-Learn, LightGBM, XGBoost, Catboost, LAMA, AutoWoE, SHAP) – RECSYS(Surprise, QRec) – DL(TensorFlow, Keras, PyTorch – RL(GYM) – NLP(pymorphy2, NLTK) – NV(albumentations)) – Visualization(Matplotlib, Seaborn, Plotly) – Parsing(bs4) – Geo(Shapely) – PROD(Streamlit, Flask) – Other (pulp, cvxpy, pickle, os, shutil, zipfile)), DE(Docker, Hadoop, Hive, Sqoop, SQL, Bash, PySpark, OpenShift, Jenkins, SonarQube, MLflow), Linux, BitBucket, Git, Heroku
JIRA, Confluence, Slack
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 will be grateful if you mark them with st⭐️⭐️⭐️rs.


Добро пожаловать! 👋

Я Александр Соколов. Живу в Белграде (Сербия). Мне 46. У меня 2+ года опыта в продуктовом DS в Sber с июня 2021. Сейчас я в поиске полной удаленки в роли DS. В 2021 и в 2023 я закончил два онлайн курса DS 💻 (18 + 6 мес.). До этого я работал учителем математики старших классов в Израиле и в 2019 вернулся в Россию.
Знания в алгебре, математической статистике и теории вероятностей я получил на Механико-математическом факультете НГУ 📚 (специальность Вычислительная математика) и развил их, работая учителем старших классов в Израиле. У меня успешный опыт в педагогических процессах для подростков и взрослых.

Стэк: Python(Base (Pandas, Numpy, SciPy, Math, tqdm) – ML(Scikit-Learn, LightGBM, XGBoost, Catboost, LAMA, AutoWoE, SHAP) – RECSYS(Surprise, QRec) – DL(TensorFlow, Keras, PyTorch – RL(GYM) – NLP(pymorphy2, NLTK) – NV(albumentations)) – Visualization(Matplotlib, Seaborn, Plotly) – Parsing(bs4) – Geo(Shapely) – PROD(Streamlit, Flask) – Other (pulp, cvxpy, pickle, os, shutil, zipfile)), DE(Docker, Hadoop, Hive, Sqoop, SQL, Bash, PySpark, OpenShift, Jenkins, SonarQube, MLflow), Linux, BitBucket, Git, Heroku
IDE: VS Code, Jupyter Notebook, Zeppeline, PyCharm
JIRA, Confluence, Slack
Kaggle: https://www.kaggle.com/sokolovaleks
Портфолио пет-проектов

↪️✌️ 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:

Aleksander Sokolov's Projects

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

ds_interview_prep_resources icon ds_interview_prep_resources

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

llm-course icon llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

pet-projects icon pet-projects

Сборник PET-проектов по специализации Data Science

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