SQL Bigquery

Overview

SQL is one of my core tools for data analysis and data preparation. I use SQL to query structured datasets, combine multiple tables, and transform raw data into analysis-ready formats.

Most of my SQL work is done using Google BigQuery, where I work with large datasets and apply analytical queries to extract meaningful insights.


Skills demonstrated

  • Writing SELECT queries
  • Filtering and sorting data
  • JOIN operations
  • Aggregations (GROUP BY)
  • Subqueries
  • Data transformation
  • Preparing datasets for visualization and modeling

Sample projects

Project: Sales Data Exploration (BigQuery)

Goal: Analyze transaction data to identify sales trends and top products.
Tools: SQL (BigQuery)
Key tasks:

  • Joined transaction and product tables
  • Aggregated monthly sales
  • Identified top-selling categories

Outcome: Produced summary tables for reporting and visualization.

GitHub: (link)
Kaggle: (link )


Project: Customer Insights Query Project

Goal: Use SQL queries to segment customers based on purchasing behavior.
Tools: SQL (BigQuery)
Outcome: Created grouped customer segments for analysis.

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