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Posts

Top SQL commands I frequently use

1 minute read

Published:

Top SQL commands I frequently use

As a data analyst, SQL is an essential tool in my daily workflow. Throughout my projects in data analysis, I’ve found certain SQL commands to be incredibly powerful and versatile. Here are the top SQL commands I frequently use:

My First Post

1 minute read

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Welcome to My Blog

Blog Post 4

less than 1 minute read

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<!– — title: ‘Blog Post number 4’ date: 2015-08-14 permalink: /posts/2012/08/blog-post-4/ tags:

  • cool posts
  • category1
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Blog Post 3

less than 1 minute read

Published:

<!– — title: ‘Blog Post number 3’ date: 2014-08-14 permalink: /posts/2014/08/blog-post-3/ tags:

  • cool posts
  • category1
  • category2

Blog Post 2

less than 1 minute read

Published:

<!– — title: ‘Blog Post number 2’ date: 2013-08-14 permalink: /posts/2013/08/blog-post-2/ tags:

  • cool posts
  • category1
  • category2

Blog Post 1

less than 1 minute read

Published:

<!– — title: ‘Blog Post number 1’ date: 2012-08-14 permalink: /posts/2012/08/blog-post-1/ tags:

  • cool posts
  • category1
  • category2

portfolio

Credit Card Fraud Detection

Published:

Credit card fraud detection is a crucial task in financial security. This project aims to identify fraudulent credit card transactions using various machine learning algorithms, including Logistic Regression, Isolation Forest, Random Forest, CatBoost, Deep Neural Networks (DNNs), XGBoost, and Long Short-Term Memory (LSTM) networks.

Business Intelligence Solution for Sales Module of Adventure Works Cycles

Published:

Data Warehouse: Consolidates and organizes sales data for better accessibility and analysis.
Data Visualization: Utilizes Power BI to create interactive dashboards and reports.
Sales Analysis: Provides insights into sales trends, performance metrics, and customer segmentation.

End-to-End Data Engineering Project Using Azure Technologies

Published:

The goal is to migrate data from an on-premise SQL Server database to the Azure cloud, transform it, and analyze it using popular Azure tools. The project follows a typical data lakehouse architecture, leveraging Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Gen2, and Power BI to handle different stages of data ingestion, transformation, storage, and reporting.

Credit Card Fraud Detection

Published:

Credit card fraud detection is a crucial task in financial security. This project aims to identify fraudulent credit card transactions using various machine learning algorithms, including Logistic Regression, Isolation Forest, Random Forest, CatBoost, Deep Neural Networks (DNNs), XGBoost, and Long Short-Term Memory (LSTM) networks.

Credit Card Fraud Detection

Published:

Credit card fraud detection is a crucial task in financial security. This project aims to identify fraudulent credit card transactions using various machine learning algorithms, including Logistic Regression, Isolation Forest, Random Forest, CatBoost, Deep Neural Networks (DNNs), XGBoost, and Long Short-Term Memory (LSTM) networks.

publications

Paper Title Number 4

Published in GitHub Journal of Bugs, 2024

This paper is about fixing template issue #693.

Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Download Paper

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.