Position: Data Scientist, Data Analyst, Data Engineer, Python Developer, SQL Developer
Category: Python
English level: upper
Years of experience: 2


Experienced with: Python (np, pd, re, matplotlib, sqlalchemy, scikit-learn, Flask), PostgreSQL, Supervised
Machine Learning, Feature Engineering, Data Mining, Data Analysis (descriptive, exploratory, predictive,
statistical), Hypothesis Testing, Algorithms and Data Structures, Creating and using REST APIs, Apache Kafka,
Linux, Git, Jira, Confluence.

Basic knowledge of: C++, C#, Java, OOP, HTML, JS and Software Engineering in general.

Data Scientist at Amazinum, Jul 2022 - Jun 2023 (1 year)
Skills:
- Data analysis
- Hypothesis testing
- Feature engineering
- Selection and training of supervised ML models
- Writing scripts in Python
- Writing complex SQL queries
- Processing hundrends of millons of rows of data with PostgreSQL
- Creation and filling of relational databases
- Deployment of ML models with Flask
- Experience with Apache Kafka

Developer of trading strategies with Binance REST API in Python, Self-employed, 1 year of experience
Skills:
- Data analysis
- Hypothesis testing
- Plotting of charts
- Complex algorithm development from scratch 
- Writing a large amount of scripts in Python
- Cleaning and processing big datasets on local machine
- Building algorithmic and ML models for market price forecasting
- Using Binance REST API methods to automate workflow
Main workflow:
- Collection of trading data from Binance
- Creation of strategies and testing them on historical data
- Creation of programs/robots that trade according to a given strategy/algorithm on Binance