Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 0.5

Finished many DS courses, such as:
- [Coursera] Math and Python for Data Analysis;
- [Academical ] Probability theory and statistics;
- [Stepik] Fundamentals of statistics;
- [mlcourse.ai] Open Machine Learning Course;
- [Stepik] Samsung Computer Vision Basics (CNN, torch, keras);
- MLOps Zoomcamp (MLflow, prefect, Flask, AWS).

Have been studied abroad for half a year (Turkey). Academic courses: Statistics, Decision Analysis, Exploratory Data Analysis, Digital Marketing courses.
Completed Leadership training (Malta); Have experience in teaching children and students. Love to share knowledge.
Engineer/scientist with 3+ years of working experience in commercial R&D projects, mostly as thermal design specialist, with programming / data processing tasks.

1. SGD Regression: chips softcooling algorithms (MATLAB, Python);
2. NN: Reduced Order Modeling (for real world engineering task) based on Neural Networks;
3. CNN: aerial image processing and UNET for segmentation classification problems;
4. Optimization: implementing iterative methods and non-gradient methods fan optimization;
5. MLOps/DE: basic knowledge and experience with Ubuntu bash / AWS, GCP / Docker / PostgreSQL, MongoDB. Grafana + InfluxDB for real-time experiments tracking;
6. Analytical and numerical engineering calculations (Python);
7. Scripts for calculations / experimental results postprocessing.
Would like to build solutions from the beginning to product implementation.
Interested in all sides of data projects: communication with clients, reseach and impelementation of best solutions (including data engineering and devops).