Position: Middle Python developer
Category: Python
English level: intermediate
Years of experience: 10

Release of employees' time for creative work due to automation of routine processes and decentralization of processes. I’ve provided automatic decision making system with model prediction accuracy > 80%
Chief Risk Officer (CRO), Head of risk management department.
CURRENT PROJECTS: development and management of the decision-making system, development risk management tools.
SCOPE: Team Leader, financial risk management incl. risk taking and methodology
TOOLS: Python for Web / Data Science
1) Python for Web: git, Python Deployment, Poetry, Docker, Multi-threading, Multiprocessing, asyncio, HTTP, Web-sockets, Web-scraping, JSON, SQL (SQLite, PostgreSQL), noSQL (Redis, MongoDB), Scrapy, FastAPI, Django, Aiohttp, Remote API, PyDoc, Pylint, Unit Test, PyTest, Debugging, Profiling, Logging.
2) Python for Data Science: NumPy, Pandas, SciPy, Seaborn, Matplotlib, Scikit-learn, PySpark, TensorFlow, Keras, AWS, GCC, Azure, IBMCC, Jupyter notebook

PET-PROJECT EXPERIENCE (TEAM LEAD role):
1) Decision  making  system (ML) [FastAPI, VAEX, SVM, 
CatBoost, Random Forest, XGBOOST, H2OAutoML]. Created a custom ML-model for predicting the customer default event 
2) Personal assistant (WEB) [Python, Django, Git, SQL, Nging, Gunicorn, Docker compose, Spyder, Bootstrap, JS] Personal web-assistant with useful modules: authentication (AUTH functionality), contacts (CRUD, filter functionality for address book), noteapp (CRUD, filter functionality for notes), news (news scraping module via spyder), storage (upload and download files to / from server, sorting by categories).
3) Personal assistant (CLI) [OOP, f-programming, Pylint, git, Debugging, Profiling]. CLI App with CRUD, filter/sorting functionality for address book and notes.

The main goal is to manage the development team
I've a good understanding of the development process, CRISP-DM, DRY and SOLID principles, CI/CD pipeline. I've gained a lot of practical experience and become intimately familiar with several coding languages (Python, JavaScript). Also, I participated in coding challenges and worked on collaborative coding projects (TEAM LEAD role). I'm excited to continue a career as a ML engineer / Python developer and learn more about this line of work from industry professionals