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Data analysis and visualization of New York Yellow Taxi Trip data, The core objective of this is to find the most pickups, drop-offs of public based on their location, time of most traffic and how to overcome the needs of the public, by using BigData Technologies and Tableau.
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.
The main purpose of this repository is to build the pipeline for training of regression models and predict the compressive strength of concrete to reduce the risk and cost involved in discarding the concrete structures when the concrete cube test fails.
Conducted a comprehensive data visualization analysis using PowerBI on IPL data to determine the optimal candidate for the Impact Player role. This analysis focuses on evaluating various match situations to identify which player, among the potential impact players, is most likely to create a significant impact when needed.