Transforming Abu Dhabi Airports Workforce: Data Science and Integration Excellence
In the data science project for Abu Dhabi Airports Workforce, I spearheaded the development of a Time Attendance Integration system.
This comprehensive endeavor involved various facets of data science, starting with rigorous data analysis to uncover insights. Leveraging Azure, I designed and automated ETL processes through Data Factory Pipelines, ensuring efficient data flow. To enhance decision-making, I implemented machine learning models for predictive employee analysis in Databricks. Moreover, I automated the integration of manual documents from Procurement, Finance, and HR departments into visually captivating dashboards featuring key performance indicators (KPIs), a transformation made possible through meticulous data analysis. In addition to data processing, I prioritized data security by managing file transfers through encryption and decryption protocols.
- Data Analysis
- Data ETL
- SQL Server Programing
- Azure Data Factory
- Data Pipelines
- DataBricks
- Python
- Data Warehousing
- Data Visualizations
- SQL Server
- PowerBI
- Apache Spark | PySpark
Data Science
Abu Dhabi Airports
Abu Dhabi, UAE
September 25, 2022
Project Summary
In summary, the Abu Dhabi Airports project epitomized a holistic data science initiative, encompassing data analysis, Azure integration, ETL automation, machine learning, automated document integration, and robust data security measures. The project's success hinged on the harmonious orchestration of these components, ultimately leading to data-driven insights that supported the airport's operational efficiency and decision-making processes.
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