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growth-analytics

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Applied data analytics and data science projects focused on transforming raw data into actionable insights, predictive models, and business decisions. The portfolio showcases end-to-end workflows using Python, SQL, Power BI, and statistical modelling, covering problem definition, data preparation, analysis, modelling, and stakeholder-ready insights

  • Updated Jan 17, 2026
  • Jupyter Notebook

Comprehensive growth marketing experimentation strategies covering modern growth hacking, testing, and optimization methodologies. Drive rapid, sustainable growth through data-driven experiments.

  • Updated Jul 7, 2025

AI-powered e-commerce lead generation, intent scoring, recommendation strategy, LLM-inspired seller action, and A/B testing analytics project using Python, SQL, DuckDB, scikit-learn, and Tableau.

  • Updated Aug 25, 2026
  • Jupyter Notebook

End-to-end Product Analytics portfolio using SQL, Python, Excel, and BI. Features 6 real-world-style projects covering funnels, SaaS, user journeys, retention, revenue, Salesforce, experimentation, product insights, and business decision-making.

  • Updated Sep 12, 2026
  • Python

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