3+ years in Machine Learning development + many years of experience in advanced data analysis.
Since around 2015, I have been engaged in various ML tasks using R throughout my career.
Since then, I’ve learned some Python comprehensions (circa 2018).
github: https://github.com/ulyumdzhi
telegram: https://t.me/ulyumdzhi
Base stack:
unix, ssh, git, docker, *sql, Jupyter, Visual Studio Code, brain, responsibility and wit
Key stack:
python 3.8+, data analysis and machine learning usual libraries (as np, pd, plt, sns, statsmodels, sklearn, lightgbm and xg or cat boost sometime, imbalanced-learn) + PyTorch and 🤗
Data stack:
PySpark, Airflow, Kafka, Pub/Sub, Clickhouse, Grafana
Cloud Infrastructure: AWS, GCP, Yandex Cloud, VK Cloud
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