Position: Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 11


On my current job I have finished several projects. 
1. Automation. All Excel reports of the team was automated with the python. 60% time saving achieved with this project. 
2. Dashboard. With Python(specifically pandas, dash plotly, flask) and Linux server telecom multi-domain raw data processed and auto-updated dashboard was created. This dashboard has functionalities as drill-down, analysis of the neighboring base stations. Update interval of the dashboard is 5 minute.
3. Anomality detection. Continuously (1 hour, 15 minute) analyze ~15 KPIs of ~20K Network elements and detect if there is any trend degradation. For this project first I used SQL and then I shifted all algorithm to Python. Of course several Machine learning algorithms can be applied also for this project
4. Power outage prediction. During bad weather conditions we face with global power outages and because of this telecom base station are going to down. With the weather api forecast data and historical power outage alarms I have created Machine Learning template which can predict future power outage locations. I used Python and several regression models for this project. 
5. With the Python Atoti library I have created BI tool for our multi-domain needs.

I am currently Head of Quality Assurance unit in my organization. In my opinion I have achieved all the possible tasks in my organization and now I would like to open for new challenges to gain new experience.