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lajordan09/README.md

πŸ‘‹πŸΎ Hi, I'm LaQuita

Enterprise Technology Learner β€’ Mainframe Systems Enthusiast β€’ Data Analytics Graduate Student β€’ AI Engineering Explorer β€’ U.S. Navy Veteran

I am a technology-driven professional with a background in operations, legal support, education, real estate, and process improvement. My career has always involved complex systems, structured environments, and mission-critical decision-making. Today, I am channeling that experience into a focused transition toward enterprise technology, data analytics, and AI engineering.

I am building a strong technical foundation in Python, SQL, IBM z/OS, and data analytics while developing hands-on projects that explore automation, AI workflows, and large-scale system operations. My long-term goal is to become a versatile technology professional who can work across data, systems, and AI with confidence and adaptability.


πŸš€ Technical Focus Areas

  • Python programming, SQL development, and data analytics
  • IBM z/OS fundamentals, JCL, and mainframe ecosystem concepts
  • AI engineering basics, automation workflows, and model experimentation
  • Enterprise systems thinking and large-scale operational problem solving
  • Building real projects that demonstrate learning, curiosity, and technical growth

πŸ› οΈ Technical Skills

Languages and Tools

Python β€’ SQL β€’ HTML β€’ CSS β€’ Git and GitHub β€’ Jupyter Notebooks β€’ Google Colab β€’ Power BI β€’ Excel (Advanced)

Mainframe and Enterprise Technology

IBM z/OS β€’ JCL β€’ COBOL (learning) β€’ VS Code β€’ IBM Cloud

AI and Data Interests

AI Engineering β€’ Data pipelines β€’ Automation β€’ Model deployment fundamentals


🧩 Tech Stack Badges

Languages

Python
SQL
HTML5
CSS3

Tools and Platforms

Git
GitHub
Jupyter
VS Code
Power BI

Mainframe and Enterprise

IBM z/OS
COBOL


πŸ’Ό Professional Background

  • U.S. Navy Veteran with experience as an Operations Specialist and Legalman
  • Specialized as a GCCS Operator (Global Command and Control System) supporting mission-critical operations
  • Special Education instructor with a focus on data-informed learning support
  • Licensed Real Estate Agent with experience in contracts, negotiation, and client management
  • Process improvement professional with strengths in workflow optimization, compliance, and cross-functional operations

My background reflects discipline, analytical thinking, and a natural inclination toward technology. I have always worked in environments where accuracy, systems awareness, and rapid learning were essential.


🌱 What Motivates Me

I am driven by curiosity, resilience, and the belief that technology should empower people and improve systems.
I began teaching myself HTML and CSS early in life, and that early curiosity grew into a long-term interest in technology that continues to guide my career path today.
I am open to opportunities across data analytics, AI engineering, mainframe systems, web application developer and technical operations. I am looking for roles where I can learn, contribute, and grow while building a long-term career in technology.


πŸ“‚ Featured Work Coming Summer 2026

  • Python mini projects
  • SQL practice sets
  • Data analytics case studies
  • Comprehensive Job Simulations (Full-Lifecycle Problem Solving)
  • AI engineering experiments
  • Mainframe learning logs

🀝 Connect With Me

Email: laquita901@gmail.com
LinkedIn: linkedin.com/in/laquitajordan-memphis
Portfolio: bold.pro/my/laquita-jordan

Pinned Loading

  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. 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

  3. python-ai-debugging-workflow python-ai-debugging-workflow Public

    Datacom Debugging & Refactoring Simulation

    Python 1

  4. 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