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AI-Driven Operational Analytics 📊🤖

This repository includes two analytical notebooks focused on uncovering insights from operational and staffing data using AI-powered tooling and geospatial visualization.

🧠 Projects Included

1. Company's Employee Salary Savings Analysis

  • Explores cost-saving opportunities through data-driven employee compensation analysis.
  • Uses Pandas for data wrangling and exploratory analysis.

2. Hold Time and Location-Based Analysis

  • Analyzes user hold times by location, using heatmaps and geocoding tools.
  • Technologies include:
    • folium for interactive maps
    • OpenCageGeocode for reverse geocoding
    • matplotlib and seaborn for data visualization

📦 Dependencies

Install all required packages using:

pip install -r requirements.txt

Or run directly in Google Colab.

🔍 Key Skills Demonstrated

  • Data preprocessing & cleaning
  • Exploratory Data Analysis (EDA)
  • Geospatial data mapping
  • Insight communication using visual tools

📁 File Structure

  • Employee_Salary_Savings_Analysis.ipynb
  • HoldTime_Geospatial_Analysis.ipynb
  • requirements.txt

🚀 Author

Ojas Vatsyayan — Technical Consultant and Researcher