Analysis of business performance from three aspects: customer growth, product quality, and payment types in eCommerce companies.
Analyzing eCommerce Business Performance with SQL is a project that will analyze the business performance of an eCommerce company, taking into account several business metrics, namely customer growth, product quality, and payment types.
Transformed raw HR data into a star schema using GCP & Cloud SQL, wrote SQL queries for business reporting and analyzed trends like age vs. income, performance, and hiring by gender. Visualized insights in Tableau for data-driven HR decisions. Tools: Google Cloud SQL(Postgres), GCP, Tableau.
Apple-Sales-Warranty-Analysis is a PostgreSQL-based analytical project that inspects Apple product sales, store performance, and warranty claim behavior. Using relational tables and SQL queries, it reveals insights such as top-selling products, claim rates, growth trends, and customer warranty patterns.
10 ad-hoc business requests solved using SQL queries for Consumer Goods (FMCG) domain. Includes query optimization, schema documentation, and actionable business insights
Analyzing E-Commerce Business Performance - Data Analysis Using SQL
Advanced SQL analytics using window functions and CTEs to explore global tourism performance, segmentation, and country shares.
📊 Analyze ad-hoc requests using SQL to deliver actionable business insights for AtliQ Hardware, enhancing decision-making in the FMCG sector.
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