Vadym

Technology stack:

• Python framework: numpy, pandas, scipy, scikit-learn,;

• Exploratory Data Analysis (EDA): feature engineering, feature selection, preprocessing e.t.;

• Data visualization: plotly.express, seaborn, matplotlib;

• Supervised Machine Learning: LinearRegression, LogisticRegression, DesitionTreeClassifier,

RandomForest, XGBoost, CatBoost.

• Unsupervised machine learning: Kmeans, EM, DBSCAN.

• PostgreSQL.

• English - B1 I can be interviewed in this language

Education:

2022 SkillFactory

• Strong knowledge in linear algebra, probability theory, mathematical statistics.

• Advanced programming skills in Python.

• Parsing data from web sources, API, data cleaning and visualization.

• Intelligence data analysis. Feature engineering, statistical tests, A/B testing.

• Supervised machine learning: Regression and Classification.

• Unsupervised machine learning: clustering, dimensionality reduction.

• Data validation and model evaluation.