Position: Data Scientist || Data Analyst
Category: Data Science
English level: fluent
Years of experience: 3

IELTS 7 (reading 9 / 9)
- Performance Analysis 
Prepared Weekly KPI performance Analysis dashboards: KPI list as Parameter, Weekly time plot of each KPI, List of top 5 tariffs for each KPI and growth rate for each of them in the last week, Daily performance of each KPI in the last week, total amount of KPI in the last week, KPI growth in last week. Prepared Daily Revenue performance Analysis dashboard by including: Total revenue, Revenue proportion of each tariff, Compare tariffs on daily basis, visualize cluster of tariffs for the voice and data revenue. Add daily timeline of voice and data revenue for that tariff as tooltip. Portion of data revenue in the total revenue for each tariff.
- Telecommunication Babysitting Business Case with SPSS, Tableau (2022)
I have been given a list of new subscribers in Telecommunications Company. Churn status, revenue, voice and data usage of each subscriber was available in provided sample data. I am asked to support the marketing team to launch data driven babysitting campaign. Using appropriate analysis to explore which variable affect churn most and detect customer clusters with the highest churn rate. Run a campaign to prevent churn and retain subscribers.
- McKinsey Pyhton 
Participant of Prohack: International Data science Hackathon by McKinsey & Company. I was always on the lookout for machine learning projects and competitions; The McKinsey hackathon gave me an opportunity to compete for a new job, which was a nice bonus. Plus, I was curious about the type of problems McKinsey would present. It was a great experience to compete with professionals all over the world and learn from different solutions.
- SPSS & Tableau Project (2022)
I have been given a list of new subscribers in Telecommunications Company. Churn status, revenue, voice and data usage of each subscriber was available in provided sample data. I am asked to support the marketing team to launch data driven babysitting campaign. Using appropriate analyses to explore which variable affect churn most and detect customer clusters with the highest churn rate. Run a campaign to prevent churn and retain subscribers.