Projects

📝 Purpose and Objectives

This section exists to document and share projects as a method of learning through doing, while creating resources others can learn from. It serves three main purposes:

1. Track progress: Record ongoing work, ideas, and experiments to prevent them from languishing unfinished.
2. Teach by example: Show the steps, challenges, and insights gained so others can learn without starting from scratch.
3. Bridge private and public work: Present private analytical projects while also sharing open-source experiments, striking a balance between personal exploration and contribution to the wider community.

The guiding principle is simple: knowledge is only potential power until applied. These projects transform learning into action.

☕ Private Projects and Analytical Deep Dives

These are projects primarily for personal learning or private clients, focused on practical application and data-driven insights. Where possible, methodology, architecture, and lessons learned will be shared without exposing sensitive data.

1. Financial Data Analysis Pipeline for a Coffee Shop

• Objective: Build a complete end-to-end data pipeline to extract insights and predict trends for a small business.
• Focus Areas: Historical sales analysis, inventory optimization, pricing strategy, predictive modeling of customer traffic.
• Learning Outcome: Practical experience in transforming raw business data into actionable intelligence.

2. Bitcoin Transaction Analysis and Data Pipeline

• Objective: Gain deep technical understanding of blockchain data flows and analytics.
• Focus Areas: Transaction extraction and parsing, integrating live market prices, visualization of trends and patterns in economic activity.
• Learning Outcome: Mastering robust pipeline design and blockchain data interpretation.

3. Urbit Ecosystem Exploration and App Development

• Objective: Explore Urbit’s novel architecture and develop a practical app within its ecosystem.
• Focus Areas: Nouns, jets, vanes, ship setup, application design.
• Learning Outcome: Hands-on experience with a decentralized system and its unique programming paradigm.

🌐 Public Open-Source and Learning Logs

These projects are intended to teach through transparency, providing open resources, examples, and explanations for others to follow.

4. Computer Science / Forever Learning Repository

• Objective: Maintain an open-source educational repository documenting my learning in computer science.
• Focus Areas: Algorithms, data structures, operating systems, with annotated code examples and learning logs.
• Learning Outcome: Create a resource that others can use as a guide while also reinforcing my own understanding.

5. MonsterHunter_CLI Project

• Objective: Develop a themed command-line interface application as a practical programming exercise.
• Focus Areas: C# object-oriented design, terminal UI, data structure management.
• Learning Outcome: Documenting step-by-step technical development in a way that teaches coding principles through example.

📌 How This Section Can Teach Others

To make projects more than just a showcase, consider:

• Step-by-step methodology breakdowns: What tools, approaches, and decisions were made and why.
• Annotated code or pseudo-code: Explaining logic for learners, not just sharing files.
• Lessons Learned sections: Highlight successes, failures, and things you’d do differently.
• Visualization of pipelines or workflows: Diagrams showing data or process flow.
• Interactive templates or simplified demos: Let others experiment safely with your approach.

The goal is not to display mastery, but to make the learning process visible, actionable, and reproducible.