Visual Data Transformation and Data Preparation. Low-Code Python-based ETL.
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Updated
Jan 28, 2025 - TypeScript
Visual Data Transformation and Data Preparation. Low-Code Python-based ETL.
ETL console command tool using xml job files transfering/synchronizing ADO.Net, LDAP, JSON, XML, CSV data sources
Transforming Bitly User activity dataset who shorten .gov links into readable tabular data from json file to a DataFrame to eventually a CSV.
🚀 ETL Challenge: A hands-on project to explore ETL concepts and Data Lake creation in the cloud! Ideal for those who want to understand how to extract, transform, and load data in a scalable environment and integrate it with BI tools for visualization and analysis!
The Spotify Music Analysis Dashboard provides key insights into user streaming behavior, revealing trends in track popularity, peak listening times, and artist performance.
assignments and projects for Yeshiva University's Katz School Information Architectures course, spring 2020
This repository contains the data analysis of DataCo Global's supply chain dataset performed by our project group called Dream Five. We are a group of 5 students from St. Clair college who studied Data Analytics for Business as a Post Graduate Diploma.
🚀 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.
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.
Analyzing Real time food ordering data using Excel!
🚀 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.
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…
A store who sells bikes in North America, Europe, and Pacific needed some help in analyzing the raw data they have . The data is comprised of 1026 rows, and 13 attributes.
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.
Automated Wafer Sensor Fault Detection with CI/CD Pipeline This project implements a system for wafer sensor fault detection using machine learning.
🚀 Financial Performance & Business Optimization for a Fast Food Chain 🍔📊
Application of Power BI Concepts and Tools
The following is a SQL contribution for Amazon's seller program. A special thanks to the Catalogue Specialist team for providing the opportunity to showcase this work on GitHub
Women's_Maternal and Reproductive Health around the world (WHO Data cleaning, Data transformation, Data Normalization, Data Engineering, Data modeling, ERD Dia, Exploratory Analysis, Data visualization)
A Power BI group (AEM9) project under the Analytics Extra Mentorship Program
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