Data Scientist

Oioi

Data Scientist. Denis V. Kazakov

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About me (contacts, background)

Русский

Skills

Python. Libraries: NumPy, pandas, scikit-learn, Keras/ TensorFlow, Matplotlib, SciPy, statsmodels.

R. Packages: tidyverse, ggplot.

Machine learning:

Regression: linear, nonlinear (polynomial, spline), regularization (lasso, ridge)
Classification: logistic regression, KNN, SVM
Tree-based methods: random forest, boosting
Deep learning (CNN, RNN)
Cross-validation, bootstrap
Clustering
Data transformation (PCA, SVD)
Pipelines

Statistics:

Hypothesis testing
Parametric and non-parametric methods
ANOVA
Multiple testing

SQL
Git
Linux (bash)
Other: Jupyter Notebooks, Google Colab, REST API

Work Experience

Projects after graduation:

Kaggle competition.

Study projects on the Data Scientist reskilling course (August–November 2022):

Forecasting bank client churn
Statistical analysis of usage of phrases in Google Books
Prototype of a recommender system
Airbnb price prediction
More

Pet projects before training:

Training a neural network to distinguish between human translation and machine translation
Recovering a function from a scanned plot
Testing the validity of Zipf's law
More

Previous experience: translator and interpreter