Position: Junior Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 2.5


• Developed algorithm for daily gas consumption forecasting with SARIMAX time series model;
• Automation of data collection with SQL-queries, API calls;
• Developed the methodology of theoretical assessment of daily gas consumption dynamics separately by districts using statistical approaches and regression models;
• Developed algorithm for daily gas consumption forecasting with SARIMAX time series model;
• Automation of data collection by SQL-queries, API calls;
• Developed the methodology of theoretical assessment of daily gas consumption dynamics separately by districts using statistical approaches and regression models;
• Developed the algorithm in Python for selecting a control group based on the data of natural persons - gas consumers;
• Anomalies detection in gas consumption time series;
• Finding patterns and dependencies between different variables;
• Data Visualization;
• Detection of anomalies in gas consumption time series;
• Finding patterns and dependencies between different variables;
• Data Visualization;
• Some experience of building web-applications using Flask;