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Repository Map 🗺️

To help you navigate my Data Analytics portfolio, here is a breakdown of how the files are organized:

🚗 Automobile-Sales-Analytics

  • Automobile_Sales_Dashboard.py: The full Python source code for the interactive Dash application.
  • requirements.txt: Python dependencies for the Dash app and visualization libraries.
  • images/: Screenshots of the 9-chart dashboard and recession-specific insights.

🏙️ Chicago-Public-Data-SQL-Analysis

  • README.md: Detailed documentation of the SQL analytical process, queries, and urban insights.
  • requirements.txt: Python dependencies for the SQL magic and database connection.
  • data/: Original CSV files and the resulting FinalDB.db SQLite database.

📈 Stock-Revenue-Analysis-Tesla_GameStop

  • README.md: The core documentation containing the full ETL pipeline logic, Python source code, and strategic insights.
  • requirements.txt: List of Python dependencies for easy environment setup.
  • images/: Generated dashboards showing stock price vs. revenue correlation for TSLA and GME.

📊 WPM-DWR-Automation-2025

  • WPM-DWR-Dashboard-2025.xlsx: Master workbook with the integrated engagement dashboard.
  • data/: Raw and processed CSV exports for Center-based and Individual submissions.
  • images/: High-resolution captures of the 2025 automation system.

🛠️ WordAlive-Tracker-Testing

  • community_engagement_v1.xlsx: Prototype automated tracker for tracking member consistency.
  • images/: Screenshots of the real-time analytical dashboard.

🏋️‍♂️ Fitness-Trends-Analysis

  • fitness_analysis.ipynb: Python notebook featuring multi-dataset merging and time-series segmentation.
  • data/: Curated datasets from Google Trends (2018–2023).

🎬 Streaming-Trends-Analysis

  • streaming_eda.ipynb: Python script executing temporal segmentation and boolean indexing on 4,800+ titles.

📉 Final-Year-Project

  • Numerical_Order6_Method.mw: Original Maple worksheet for the high-order ODE algorithm.
  • Thesis_Documentation.pdf: LaTeX-formatted research paper validating the numerical convergence.

Connect with me:

  • LinkedIn: linkedin.com/in/emycodes
  • Role Interests: Data Analyst, Business Intelligence Analyst, Product Analyst, Operations Research.

"Data is most powerful when it serves as a clear, honest bridge between raw numbers and strategic growth."

©️ EmyCodes | 2026