Position: Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 1.5


Business experience.
Marketing department:
- HR automatic analytics using loyalty program.
- Customers age and emotions detection via security cameras.
- Cusomer segmentation in Kyiv city.
- Minor SQL queries.
- Association analysis of sold products.
- Sales analytics.
- Any machine learning problem.

Algorithms:
- Linear, Logistic, Ridge, Lasso, Decision Tree, Random Forest, Gradient Boosting Regression, XGBoost, LightGBM Regressor, K-means, CatBoost, etc.
- Neural networks: FFNN, DNN, CNN, RNN, YOLO, etc.
- Computer Vision (image recognition, object detection)

Technical stack:
- Python 2/3.
- Jupyter Notebook, Scikit-Learn, XGBoost, CatBoost, Anaconda, TensorFlow, Keras, PyTorch, OpenCV.
- Pandas, SciPy, NumPy, MS Excel.
- Matplotlib, Seaborn.
- MSSQL, SQLite, PostgreSQL, MySQL, MongoDB.
- Flask, Django.
- AWS, GCP, Heroku.
- Linux, Git, Docker.
Making predictions, object detection, recommendation systems. Interested in any project where ML model could be implemented. Expecting an interesting project and a friendly team.