https://github.com/niteshchawla/delhivery-featureengineering
The Data team builds intelligence and capabilities using this data that helps them to widen the gap between the quality, efficiency, and profitability of their business versus their competitors.
https://github.com/niteshchawla/delhivery-featureengineering
feature-engineering hypothesis-testing matplotlib-pyplot numpy pandas-python scipy-stats seaborn
Last synced: 9 months ago
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The Data team builds intelligence and capabilities using this data that helps them to widen the gap between the quality, efficiency, and profitability of their business versus their competitors.
- Host: GitHub
- URL: https://github.com/niteshchawla/delhivery-featureengineering
- Owner: Niteshchawla
- Created: 2024-06-28T10:24:09.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-06-28T10:26:25.000Z (over 1 year ago)
- Last Synced: 2025-01-10T16:18:14.396Z (10 months ago)
- Topics: feature-engineering, hypothesis-testing, matplotlib-pyplot, numpy, pandas-python, scipy-stats, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 3.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Delhivery-FeatureEngineering
About Delhivery
Delhivery is the largest and fastest-growing fully integrated player in India by revenue in Fiscal 2021. They aim to build the operating system for commerce, through a combination of world-class infrastructure, logistics operations of the highest quality, and cutting-edge engineering and technology capabilities.
The Data team builds intelligence and capabilities using this data that helps them to widen the gap between the quality, efficiency, and profitability of their business versus their competitors.
Objective:
The company wants to understand and process the data coming out of data engineering pipelines:
• Clean, sanitize and manipulate data to get useful features out of raw fields
• Make sense out of the raw data and help the data science team to build forecasting models on it