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datatransformation

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Modern machine learning project development - This end-to-end project implementation provides the real-time delay updates to logistic companies. It uses MLflow for model tracking and management, Hopsworks Feature Store for storing and managing the dataset, and Streamlit for building an interactive web application to predict truck delays.

  • Updated Nov 30, 2024
  • Jupyter Notebook

🚀 Excited to share my latest project, a Bank Loan Analysis Dashboard developed in Power BI. This dashboard provides a consolidated view of key metrics, offering deep insights into loan applications, funding, and repayments.

  • Updated Sep 3, 2024
  • Jupyter Notebook

The data set contains data about city fuel cycle consumption of vehicles. This report demonstartes data cleaning and preparation techniques using SAS to prepare it for statistical analysis. It uses arrays, concatenation, data type converison, outlier removal and standardization. The dataset is downloaded from https://archive.ics.uci.edu/ml/datas…

  • Updated Mar 31, 2022
  • SAS

This ETL project was designed to demonstrate the development of a scalable data pipeline for customer sales analysis. It covers all essential steps, from data extraction to transformation and loading into a database, with Apache Airflow used.

  • Updated Aug 19, 2024
  • Python

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