analyzing Netflix data to gain insights and develop a content-based recommender system. The main steps include data preparation, exploratory data analysis (EDA),
and building a recommender system using cosine similarity.
Developed a predictive model to estimate house prices and uncover key factors and trends impacting housing values over time.
Built a PostgreSQL e-commerce database ensuring data integrity across Customer, Order, Product, Payment, and Supplier to support business processes and insights.
Processed 800K+ sales records using R, SQL, and Python to build 70%-accurate predictive models and visualizations in Tableau and Looker Studio for 40+ product categories.
Analyzed web performance using GA4, SQL, and Excel to uncover key growth drivers, boosting revenue by 25% and contributing to an 80% YoY sales increase.