Oleg Kovalenko Email & Phone Number

I actively take courses from ODS, Stepik, Coursera, Udemy. I also read articles on FreeCodeCamp, Towards Data Science, Habr, etc.Hard skills:— Basic mathematical knowledge (linear algebra, probability theory, statistics, integrals);— Python (libraries Pandas, Numpy, Sklearn, PyTorch, Optuna, CatBoost, NLTK, Gensim); — machine learning (linear regression, logistic regression, neural networks, decision trees);— data visualization (matplotlib, seaborn);— EDA, Feature Engineering;— SQL (CRUD, JOIN, window functions, materialized views, triggers, functions)— Linux, Docker.Soft skills:— Analytical mind;— Quickly adapt to changing conditions;— Self-organization;— Team work;— Attentiveness;— Self-learning;— Determination.Attached are links to the portfolio:https://github.com/Kavushafull— Python projects;— Course project on SQL.https://www.kaggle.com/kavusha— Competitions for predicting house prices using GreedSearchCV, Sklearn, XGBoost, CatBoost;— Competitions to determine the client’s credit category for making a decision on issuing a loan.https://leetcode.com/kavushafull/— Solving problems using Python tools.Available upon request:— Implementation of Word2Vec using PyTorch;— Fake news classification model on NLTK, KNN, Pymorphy2, TF-IDF, LinearSVC; —comment toxicity classification on Gensim and PyTorch.