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lookerstudio

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This project performs association analysis on a sales dataset, using the Apriori algorithm. The dataset is loaded from an Excel file, and a basket of items is created for each transaction. The Apriori algorithm is then applied to find frequent itemsets and association rules based on the support, confidence, and lift metrics.

  • Updated Jun 2, 2025
  • Jupyter Notebook

Engineered a robust data pipeline using Google Cloud Platform (GCP) services like Cloud Storage, Compute Engine, BigQuery, resulting in a 30% decrease in data processing and analysis time of the San Francisco Crime dataset.Designed an interactive dashboard using Looker Studio, empowering stakeholders to explore crime data visually.

  • Updated Jan 20, 2024
  • Jupyter Notebook

An interactive Sales Dashboard built in GoogleLooker Studio using an Excel dataset. Designed in a dark theme, it showcases key KPIs like orders, customers, categories, segments, and shipping modes. It also provides regional and city-level insights along with year-wise and month-wise sales trends for clear sales analysis and decision-making.

  • Updated Aug 23, 2025

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