Data Scientist with extensive experience (14 years) as an engineer in international companies, about 3 years of experience in Data Science in the microelectronics manufacturing industry, using machine learning methods, computer vision.Optimized and improved operational efficiency and quality in production, thereby leading to increased revenue margins and improved product performance.I have solid knowledge in the field of probability theory, mathematical statistics and linear algebra. I have experience in implementing projects using Machine Learning, Computer Vision and NLP. I also have experience working with neural networks (dense, autoencoders, RecSys, LSTM). Knowledge of English at an advanced level. Team player.Technology stack:Big Data, ML & CV:Python (Scikit-learn, SciPy, Pandas, Matplotlib, Seaborn, Numpy, Statsmodel), CatBoost, XGBoost, LightGBM, TensorFlow, PyTorch, PySpark, SQL, PostgresTools:Airflow, Git, SQL, Docker, Spark, Flask, bash, Airflow, Streamlit, Huggingface, Virtual Machines, Google Collab, LinuxTelegram: https://t.me/OverSide88