Data Analyst with skills in analyzing datasets and deriving actionable insights. Proficient in data cleaning, data preprocessing, and statistical techniques. Expertise in data analysis, predictive modeling, and data visualization.
Collaborates effectively with teams to develop data-driven solutions. Seeks opportunities to contribute to data-driven strategies and drive business growth.
Have experience with several projects, e.g.
Analysis of advertising campaigns costs
As a Junior Data Analyst my project focused on analyzing costs for advertising campaigns on Facebook and Google. I evaluate costs, number
of active campaigns to optimize the effectiveness of advertising campaigns.
DBeaver and PostgreSQL are used, the code is transferred to Looker Studio with automatic data update.
Monitoring: costs, number of active advertising campaigns.
Key metrics calculation: CPC, CPM, CTR, ROMI
SaaS Revenue Insights
As a Junior Data Analyst, I analyze data to evaluate key business metrics such as ARPPU, New MRR and Total Revenue. Segmentation is applied to explore revenue distribution by product and location.
The project utilizes cohort analysis to identify patterns in user behavior across different customer cohorts. The project emphasizes performance
tracking through interactive visual dashboards to drive data-informed decisions and revenue optimization. The project aims to improve growth in
the SaaS industry.
Cohort analysis on the Media Streaming platform
As a Junior Data Analyst, I worked with data to evaluate Onboarding Funnel, Onboarding Funnel Conversion, Onboarding Time, User Number Dynamics, Average Events Per User, User Retention Graph.
The project displays the user's Journey Map from the start of the session to the two final events.