Position: Python Developer / Data Scientist
Category: Python
English level: pre
Years of experience: 5

Distributed backend for highload web app (framework for massive machine learning experiments) Used technologies/libraries/frameworks: Asyncio, Sckit-Learn, Dask, Pandas, PostregSQL, SQLAlchemy

Some web apps (as fullstack web developer). Used technologies/libraries/frameworks: Flask, Django, PostgreSQL, SQLAlchemy, Celery, JavaScript, JQurey

Building simply and complex web scrapers for gathering information from the web. Used technologies/libraries/frameworks: Scrapy, Python Requests, LXML, Pandas.

Image segmentation, object detection, 3d scenes reconstruction. Used technologies/libraries/frameworks:
Scipy, Skimages, PyTorch, Keras

Signal / time series processing. Used technologies: Scipy, Matplotlib, Keras, PyTorch.

Sentiment analysis. Used technologies: Bert

I also have the experience of scientific programming.
ML - data analysis and preprocessing. Building predictive and clustering models.
Deep learning (image classification, segmentation, etc...)
NLP (sentiment analysis)
Timeseries (predictive maintenance, failures prediction)

Web scraping.

Backend and fullstack Web development.

Highload distirbuted backend development
The ability to work remotely ( Currently I can only work remotely).

The ability to apply and improve my skills.

Working with people with more experience and knowledge than me, from whom I can learn something.

Preferable areas:

as Data Scientist - computer vision, signal processing.

as Python developer - web scraping, backend