SQL-based analysis of user activity and monetization funnel metrics,
identifying behavioral patterns and providing actionable insights
to support product growth strategies.
SQL-based analysis of e-commerce customer behaviour focusing on segmentation,
cohort performance, and retention. The project builds revenue views, identifies
high-value customers, tracks cohort revenue trends, and flags churn risk to
support data-driven growth and retention strategies.
Power BI analysis of data professionals in New York, revealing demographics, salary trends, and career satisfaction insights.
Tableau analysis providing a financial overview of marketplace categories, including revenue dynamics, buyout rates, and pricing insights across regions and brands.
Analysed marketplace data with Python, Pandas and Plotly to uncover drop-offs, retention gaps, and monetisation issues — delivering insights to boost re-engagement and optimise strategy.
A/B testing analysis of new payment mechanics to evaluate user conversion impact and statistical significance, providing data-driven recommendations for payment flow optimisation.
Performed EDA on audio sales data using Python and Pandas, uncovering trends, regional patterns, and revenue drivers to guide product and marketing strategy.
Excel dashboard visualising data science salaries by job title, contract type, and country — with interactive filters and key metrics for quick insights.
R analysis of COVID-19 patient data to evaluate mortality risk factors by age and gender, test statistical significance, and visualise patterns with ggplot2.
Designed a relational database for an online tutor marketplace, covering conceptual to physical modelling with a 5NF OLTP schema supporting users, courses, schedules, and reviews.
Built a Sales Data Warehouse with KNIME and SQL, covering the full ETL process from raw data to analytics. Designed a star schema for efficient reporting and a single source of truth for sales insights.
No-code analytics with ChatGPT: explore, clean and visualise Google Jobs data, then predict salaries with a Random Forest – fully driven by prompts.