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lajordan09/README.md

Hi, I'm LaQuita Jordan

Real Estate Professional | Data Analytics Graduate Student | Real Estate Market Intelligence

📍 Memphis, Tennessee

I am a Residential Real Estate Professional and Data Analytics Graduate Student focused on using data to better understand real estate markets, investment activity, pricing patterns, and property characteristics.

My work sits at the intersection of:

🏠 Real Estate + 📊 Data Analytics + 📈 Market Intelligence + 💻 Technology

I am building practical analytics projects that turn real estate data into clear, actionable insights for real estate professionals, investors, and other decision-makers.

🎯 Professional Focus

My current focus is developing the skills to analyze real estate markets through data.

Areas of Interest

  • 🏠 Residential Real Estate Analytics
  • 📊 Real Estate Market Analysis
  • 📈 Investor & Buyer Behavior
  • 💰 Property Pricing Analysis
  • 📍 Geographic & ZIP Code Analysis
  • 🧮 Property & Transaction Analytics
  • 🤖 PropTech & Real Estate Technology
  • 📊 Business Intelligence & Data Visualization

🛠️ Technical Skills

📊 Data Analytics

  • Python
  • SQL
  • Microsoft Excel
  • Data Cleaning & Transformation
  • Descriptive & Exploratory Data Analysis
  • Data Visualization
  • Business Intelligence

📈 Analytics Tools & Platforms

  • Excel PivotTables & PivotCharts
  • Power BI
  • Jupyter Notebook
  • Git & GitHub
  • VS Code

🏠 Real Estate Analytics

  • Residential Market Analysis
  • Investor & Buyer Behavior Analysis
  • Property Pricing Analysis
  • ZIP Code & Geographic Analysis
  • Real Estate Data Visualization
  • Transaction & Property Analytics

🏠 Real Estate + Data Analytics Portfolio

Memphis Investor Market Analysis

An exploratory real estate analytics project examining investor purchasing patterns across selected Memphis, Tennessee ZIP codes using a synthetic residential transaction dataset.

Analysis includes:

  • Investor vs. owner-occupant purchasing activity
  • Investor purchase volume by ZIP code
  • Average investor purchase price
  • Average investor price per square foot
  • Property size characteristics
  • Bedrooms
  • Year built
  • Geographic patterns

📊 Tools: Microsoft Excel, PivotTables, PivotCharts, Data Analysis

🔗 View the Memphis Investor Market Analysis

Data Note: The project uses a synthetic dataset created for educational and portfolio purposes. It does not represent actual MLS or public-record data.

📚 Current Learning & Development

I am continuing to advance my technical and analytical skills while building deeper expertise at the intersection of data analytics, business intelligence, and real estate.

🎓 Advanced Analytics Development

  • Advancing skills in Python, SQL, and Microsoft Excel
  • Building stronger capabilities in data cleaning, analysis, and visualization
  • Developing business intelligence and dashboarding skills
  • Expanding analytical problem-solving and data-driven decision-making
  • Upcoming coursework: Data Science for Business

🏠 Real Estate Analytics & Investment

  • Commercial real estate financial modeling
  • Real estate investment analysis
  • Property valuation and investment metrics
  • Real estate financial analysis and modeling
  • Market and transaction analysis
  • Applying data analytics to real estate investment decisions

My current focus is developing the technical depth to analyze business and real estate data while strengthening the financial modeling skills needed to evaluate real-world investment opportunities.

💼 Professional Background

  • 🏠 Licensed Real Estate Professional
  • 📊 Data Analytics Graduate Student
  • ⚓ U.S. Navy Veteran
  • ⚙️ Operations & Process Improvement Professional
  • ⚖️ Legal & Compliance Experience
  • 💻 Enterprise Technology & Systems Experience

My professional background spans real estate, data analytics, operations, legal support, and enterprise environments, giving me a strong foundation in analysis, problem solving, documentation, client service, process improvement, and data-driven decision-making.

I am now bringing these experiences together at the intersection of real estate, data analytics, and technology, with a growing focus on real estate investment analysis, financial modeling, and business intelligence.

🧩 Tech Stack Badges

Languages

Python
SQL
HTML5
CSS3

Tools and Platforms

Git
GitHub
Jupyter
VS Code
Power BI

🌱 What I'm Building

My portfolio is focused on practical projects that demonstrate how data can support better decisions in real estate and business.

Upcoming areas of exploration include:

  • Real estate market dashboards
  • Property pricing analysis
  • Investor behavior analysis
  • Geographic market comparisons
  • SQL real estate datasets
  • Python real estate analytics
  • Power BI dashboards
  • PropTech applications
  • AI-assisted real estate workflows

🔗 Connect With Me

📧 Email: laquita901@gmail.com

💼 LinkedIn: https://www.linkedin.com/in/laquitajordan-memphis/

🌐 Portfolio: https://bold.pro/my/laquita-jordan

🚀 Career Direction

I am interested in opportunities where real estate, data analytics, business intelligence, and technology come together.

I am particularly interested in developing solutions that help organizations:

Understand the market → Analyze the data → Identify patterns → Make better decisions.

⭐ Thanks for visiting my profile!

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  1. job-simulations job-simulations Public

    Portfolio of data analytics, AI operations, and technology job simulations demonstrating real-world problem solving, data quality, automation, and reporting workflows.

    Python 1

  2. voice-2-literacy voice-2-literacy Public

    Voice 2 Literacy AI Agent. Built with Google AI Studio. Kaggle Capstone

    TypeScript 1

  3. ibm-zos-jcl-exercises ibm-zos-jcl-exercises Public

    Hands-on IBM z/OS JCL exercises covering dataset management, IEBGENER utility, COBOL job execution, and JES job debugging.

    1

  4. python-ai-debugging-workflow python-ai-debugging-workflow Public

    Datacom Debugging & Refactoring Simulation

    Python 1

  5. zoau-linklist-to-dataset zoau-linklist-to-dataset Public

    Used ZOAU Python APIs to extract z/OS LINKLIST, transform output, and store it in a sequential dataset validated by JCL (CC0000).

    1

  6. memphis-investor-market-analysis memphis-investor-market-analysis Public

    Real estate analytics project analyzing investor purchasing patterns, pricing, and market trends across Memphis ZIP codes.