1. Create checks to ensure company data quality
2. Research of large volumes of data from different sources (databases, logs, excels) in order to assess their quality and find potential problems using Python and SQL
3. Creating dashboards in Tableau and Grafana to visualize information
4. Implementation of the application with ChatGPT to automate simple questions (prompt engineering + API)
5. Setting up data quality check pipelines based on Great Expectations
6. Assisting in improving processes within the data governance department

1. Checking students' homework (SQL and Python)
2. Reviewing individual projects (developing ETL processes)
3. Writing Python textual tutorials

1. Setting up ETL processes for live aggregation of raw data in the analytics ClickHouse data lake
2. Creating analytics reports using Redash 3. Supporting and developing a Django
application for media data, including
working with Celery
4. Creating an API with Django Rest
Framework (DRF) for importing and exporting Django model configurations

1. Development of Python scripts to automate internal processes
2. Support and filling the internal database
3.Analysis of logs and financial instruments
4.Work with remote Linux servers

1. Project to analyze mouse neural activity data (using Python and Pytorch)
2. Classes in computational neuroscience to improve my theoretical framework