Data Analyst specializing in SQL modeling, automated Python ETL pipelines, and executive BI dashboards that solve real business bottlenecks.
Real-world data problems solved through structured business analytics.
Analyzed 500k+ UK retail transactions using advanced SQL (CTEs, NTILE). Built a monthly retention heatmap and segmented the user base into actionable LTV groups.
Built a predictive model to identify high-risk users. Discovered that month-to-month contracts drive a 5x higher churn rate, forming the basis for a targeted retention strategy.
Currently building an executive sales dashboard using Power BI / Tableau.
Coming SoonPython (pandas, NumPy), SQL (PostgreSQL, MySQL, BigQuery), Web Scraping (BeautifulSoup), Data Pipelines.
Power BI (DAX, Power Query), Tableau Public, Streamlit Apps, Google Sheets, Plotly/Seaborn.
Hypothesis Testing, A/B Test Evaluation, Regression & Classification, RFM Segmentation, KPI Definition.