I am a Data Analyst with hands-on experience working with data and a strong background in Excel, which I have gained in previous roles. I have 19 years of experience in finance and accounting, now pivoting into Data Analytics. I have experience managing complex financial operations, banking products, and credit portfolios for major corporations such as SOCAR. During my studies, I worked on data analysis, cleaning, and visualization, and I am continuously developing my skills in the tools required for a Data Analyst. Currently, my primary practical tool is Excel, but I am actively deepening my knowledge of analytics and am ready to apply it to real-world business challenges. Below is a description of the projects I have worked on.
Projects:
1. Cohort analysis and user retention to assess engagement.
Task: Assess user retention trends over 6 months in organic and paid traffic segments.
My role: Cleaning and standardizing non-standard date formats; developing a cohort model in SQL with monthly offset calculations (month_offset); calculating retention KPIs and creating an interactive reporting dashboard.
Tools: SQL (PostgreSQL), DBeaver, Google Sheets (pivot tables, filters, conditional formatting), cohort analysis, product metrics (retention rate, user segmentation).
2. Analysis of a Global Developer Survey.
Task: Conduct a comparative analysis of global developer compensation, the popularity of programming languages, and the demand for remote work based on the 2025 Stack Overflow survey (over 49,000 responses).
My role: Processed and cleaned a large dataset with mixed data types; performed exploratory data analysis (EDA); calculated demographic metrics and segmented financial metrics by industry and employment type.
Tools: Python (Pandas, NumPy), Jupyter Notebook, EDA, and statistical analysis.
3. Comprehensive A/B testing analysis to shape product positioning.
Task: To assess the impact of changing the value proposition (adding the text “50% off” while keeping the price at $4.99) on premium subscription conversions in the mobile app.
My role: Managed the full A/B testing cycle: calculated the experimental design (MDE = 15%, sample size = 18,336 users), filtered the target audience, ensured even traffic distribution, and statistically validated the results.
Tools: A/B testing, experimental design, Chi-square test, Python (SciPy, Statsmodels, Pandas), PowerPoint, product metrics (CR, ARPU, retention, refund rate).
