https://github.com/anniefib/otherprojects

Powering Data Dreams: From Orchestration to Analytics with Cloud Precision
https://github.com/anniefib/otherprojects

airflow-etl-orchestration aws cloud-native-data-solutions data-analysis data-visualization database datamodelling datawarehousing eda end-to-end-data-pipelines machine-learning-models pgadmin4 spark-analytics sql

Last synced: 5 months ago
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Powering Data Dreams: From Orchestration to Analytics with Cloud Precision

• Host: GitHub
• URL: https://github.com/anniefib/otherprojects
• Owner: AnnieFiB
• Created: 2025-03-08T15:44:08.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2025-06-24T19:24:35.000Z (7 months ago)
• Last Synced: 2025-07-01T02:42:20.897Z (7 months ago)
• Topics: airflow-etl-orchestration, aws, cloud-native-data-solutions, data-analysis, data-visualization, database, datamodelling, datawarehousing, eda, end-to-end-data-pipelines, machine-learning-models, pgadmin4, spark-analytics, sql
• Language: Scala
• Homepage:
• Size: 523 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Retail Analytics Stack

![Google Maps API](https://img.shields.io/badge/Maps%20API-4285F4?logo=googlemaps&logoColor=white)

![Yelp](https://img.shields.io/badge/Yelp-D32323?logo=yelp&logoColor=white)

![Web Scraping](https://img.shields.io/badge/Web%20Scraping-6A1B9A?logo=python&logoColor=white)

![NLP](https://img.shields.io/badge/NLP-FF6F00?logo=spaCy&logoColor=white)

![Sentiment Analysis](https://img.shields.io/badge/Sentiment%20Analysis-336791?logo=scikit-learn&logoColor=white)

![Forecasting](https://img.shields.io/badge/Forecasting-4CAF50?logo=statsmodels&logoColor=white)

![Clustering](https://img.shields.io/badge/Clustering-1E88E5?logo=scikit-learn&logoColor=white)

## Repository Structure

```

/

├── KLP/                

│   ├── documentation/  # Technical specs & diagrams

│   ├── datasets/           

│   └── scripts/          

├── .gitignore

├── README.md

└── requirements.txt

```

## Key Components

### 1. KIP Project

| Feature                        | Description                                                                 |

|--------------------------------|-----------------------------------------------------------------------------|

| **Product/Store Data Collection** | Using **Places API**, **Map API**, **Yelp Dataset**, and **Web Scraping** to collect store/product data |

| **Market Competitive Analysis** | NLP-based sentiment analysis and competitor benchmarking                    |

| **Product Analysis**            | Time-series forecasting and clustering algorithms for trend insights       |

## Workflow Example

```bash

# 1. Run KiP project

cd KIP && make run

```