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

---