Data Scientist (Marketing Insight Analyst)
Current- Analysed user behaviour and campaign data using SQL and Python, generating insights that led to a 15% increase in feature adoption and a 20% boost in user engagement.-Developed and maintained dynamic dashboards with Tableau and Power BI, delivering visual insights for senior management and enabling data-driven decisions across product and marketing teams.-Designed, executed, and interpreted A/B tests to evaluate marketing campaigns and UI changes, providing recommendations for⦠Show more - Analysed user behaviour and campaign data using SQL and Python, generating insights that led to a 15% increase in feature adoption and a 20% boost in user engagement.-Developed and maintained dynamic dashboards with Tableau and Power BI, delivering visual insights for senior management and enabling data-driven decisions across product and marketing teams.-Designed, executed, and interpreted A/B tests to evaluate marketing campaigns and UI changes, providing recommendations for cost-efficient acquisition strategies.-Collaborated cross-functionally with product, engineering, and business development teams to integrate data insights into strategic road maps, contributing to a 30% increase in user retention through targeted tool enhancements.-Analysing and optimising key metrics such as CTR (Click-Through Rate), CVR (Conversion Rate), ARPU (Average Revenue Per User), Retention, and LTV (Lifetime Value) to drive cost-effective customer acquisition.-Leveraged KMeans clustering and Non-negative Matrix Factorisation (NMF) to segment customer base into actionable cohorts based on behavioral and demographic data-Developed distinct customer profiles to enhance targeted marketing and personalised customer experiences.-Analyzed customer purchase patterns, preferences, and engagement metrics, enabling data-driven decisions that improved customer retention and lifetime value. Show less