Accounting & financial operations professional with a strong analytical and engineering mindset.
I enjoy turning complex, ambiguous problems into clear, repeatable logic using data, rules, and practical tools.

I’m most comfortable working in environments where precision matters.

Across finance, data, and markets, I tend to approach problems by:

• breaking ambiguity into structured inputs
• defining clear rules and constraints
• validating data before acting on it
• removing emotion and noise from decision-making
• iterating, testing, and refining until outcomes are repeatable

I’m less interested in one-off solutions and more interested in systems that behave predictably under real-world conditions.

I’ve applied this mindset across a few overlapping domains:

Designing and maintaining clean, reliable financial records; supporting month- and year-end processes; and ensuring financial data is accurate, traceable, and usable for decision-making.

Personal research into programmatic trading (rule-based systems that execute predefined market decisions automatically), where I translate technical analysis into deterministic logic.

This work focuses on:

• converting discretionary market decisions into code
• enforcing risk constraints mechanically
• testing logic across varying market conditions
• removing emotional influence from execution

For non-traders, I think of this as building financial decision systems: well-defined rules, validated inputs, and consistent execution.

Building small internal tools and scripts to:

• clean and normalize data
• automate repetitive or error-prone tasks
• improve the clarity and usability of reports

These are pragmatic solutions built to solve specific problems rather than generalized products.

I’m comfortable working across modern accounting, data, and automation tools when they meaningfully reduce friction or improve clarity.

Accounting & Data

• QuickBooks (Online & Desktop)
• Excel (formulas, PivotTables)
• Power BI
• SQL
• Google Sheets

Programming & Analysis

• Python (data processing, analysis, automation)
• Pandas / NumPy
• Jupyter Notebooks

Automation & Integrations

• Power Automate
• Zapier / Make
• APIs and data connectors
• GitHub & GitHub Actions

Web & Supporting Tools

• WordPress / Elementor
• HTML / CSS / JavaScript
• Cloudflare
• VS Code

I approach these tools as instruments for exploration and problem-solving, not as an end in themselves.

Some areas I’m actively exploring:

• Programmatic access to accounting data using the QuickBooks Online API
• More readable and decision-oriented financial reporting formats
• Rule-based logic applied to accounting workflows and market analysis
• Small utilities that replace repetitive, low-value manual tasks

These explorations are iterative by design and evolve as tools and ideas change.

This GitHub profile contains:

• personal projects
• learning artifacts
• experiments
• small tools built to solve real problems

The code here reflects curiosity, iteration, and practical problem-solving rather than polished, commercial software.

🔗 LinkedIn
🌐 Personal Website ▶ YouTube (Professional Channel) 📧 Email