This repository contains my submissions for the Quantium Data Analytics Virtual Experience Program hosted by Forage. The program simulates real-world data analytics tasks, focusing on customer purchasing behaviors and experimental analysis to derive actionable business insights.

The virtual experience program comprises three main tasks:

1. Data Preparation and Customer Analytics:

   • Objective: Analyze client transaction data to identify customer purchasing behaviors and generate insights.
   • Deliverables:
     • Data cleaning and preprocessing.
     • Analysis of purchasing patterns across different customer segments.
     • Identification of key insights to inform business strategy.
   • Files:
     • Task 1.ipynb

2. Experimentation and Uplift Testing:

   • Objective: Evaluate the performance of trial stores with a new layout to determine the impact on sales and customer engagement.
   • Deliverables:
     • Design and implementation of uplift testing methodologies.
     • Statistical analysis to assess the effectiveness of the trial.
     • Recommendations based on experimental results.
   • Files:
     • Task 2.ipynb

3. Analytics and Commercial Application:

   • Objective: Synthesize findings from previous tasks to provide strategic recommendations for the client.
   • Deliverables:
     • Comprehensive report highlighting key insights.
     • Visualizations to support data-driven decisions.
     • Actionable recommendations for business improvement.
   • Files:
     • Task 3.pdf (Not included in this repository)

• Data Files:

  • QVI_purchase_behaviour.csv: Contains customer purchase behavior data.
  • QVI_transaction_data.xlsx: Includes transaction-level data for analysis.
  • QVI_data.rar: Compressed file with additional datasets.

• Notebooks:

  • Task 1.ipynb: Jupyter Notebook for Task 1 analysis.
  • Task 2.ipynb: Jupyter Notebook for Task 2 analysis.

• Miscellaneous:

  • .DS_Store: System file (can be ignored).
  • LICENSE: License information for the repository.
  • README.md: This document.

The analysis was conducted using Python 3 with the following libraries:

• pandas
• numpy
• matplotlib
• seaborn
• scipy
• sklearn

Ensure these packages are installed to run the Jupyter Notebooks successfully.

1. Clone the Repository:

   git clone https://github.com/Taaran18/Quantium-Virtual-Internship.git

   Navigate to the project directory:

   cd Quantium-Virtual-Internship

2. Set Up the Environment:
   Create a virtual environment and install the required dependencies:

   python -m venv env
   source env/bin/activate  # On Windows: env\Scripts\activate
   pip install -r requirements.txt

3. Access the Notebooks:
   Launch Jupyter Notebook to explore the analysis:

   jupyter notebook

   Open Task 1.ipynb and Task 2.ipynb to review the analyses.

This project is licensed under the MIT License. See the LICENSE file for more details.

Gratitude to Quantium and Forage for providing this virtual experience program, offering practical insights into data analytics in a business context.

For more information about the program, visit the Quantium Data Analytics Virtual Experience Program.

Developed by Taaran Jain. For inquiries or collaboration, feel free to connect.

Note: This repository is for educational purposes, showcasing the tasks completed during the virtual internship program.