Finance. Systems.
Built to scale.

Final-year Accounting & Finance student with hands-on experience building systems, automations, and infrastructure.
I combine quantitative thinking with reliable execution.

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Now: ESG reporting research + longitudinal analysis
Now: building automation dashboards + infrastructure monitoring
📊
Research
ESG Reporting & Audit Cost Dynamics
🔬
Methods
Quantitative + Longitudinal + Secondary Data
🖥️
Systems
Private Server Infrastructure
⚡
Automation
API-Driven Workflows
💹
Finance
Modelling & Data Interpretation
🏗️
Build Style
Reliable, measurable, scalable

Projects

Selected work across finance, research, and system building — designed to be measurable and scalable.

AI Trading Bot (Signal & Workflow System)
Problem
Tracking signals and execution logic manually doesn't scale.
Build
Designed an automation-first bot workflow with structured logic, API integrations, and reliability controls.
Outcome
Fast signal delivery + consistent logic + measurable tracking.
Python API Integration Automation Systems Trading Bot Systems AI Implementation
View Info →
Private Server Infrastructure (Home Lab)
Problem
I needed always-on services with visibility and control.
Build
Built a private server environment with monitoring, service management, and structured deployment.
Outcome
Stable infrastructure with clear status and rapid recovery.
Server Hosting Linux Management Automation Systems Monitoring
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ESG Research Model (Longitudinal Quant Analysis)
Problem
How do disclosure requirements reshape audit costs over time?
Build
Research-driven model using quantitative + longitudinal methods and secondary datasets.
Outcome
Trend-based insight and structured interpretation for decision support.
ESG Reporting Research Quantitative Methods Longitudinal Analysis Data Interpretation
View Info →
Financial Analysis Tools (Modelling & Insight)
Problem
Raw data is useless without structure and interpretation.
Build
Built modular tools for modelling, scenario analysis, and clean reporting outputs.
Outcome
Faster analysis + clearer decisions + reusable templates.
Financial Modelling Data Interpretation Automation
View Info →

Skills

A hybrid stack spanning finance intelligence and systems engineering.

⚙️ Systems & Engineering

Infrastructure, automation, and integration

Python API Integration Server Hosting Linux Management Trading Bot Systems Automation Systems AI Implementation

📈 Finance & Academic

Research, analysis, and modelling

Final Year Accounting & Finance Business Integration Project (Research-Driven) ESG Reporting Research Quantitative + Longitudinal Methods Financial Modelling Data Interpretation

How I Work

🎯 Evidence-first
⚡ Automation-first
🧠 Systems thinking
📝 Clean documentation
📊 Measurable outputs

Research Focus

Where reporting meets regulation — analysed through structured, data-driven methods.

Business Integration Project

ESG Reporting & Audit Cost Dynamics in Mid-Sized UK Firms

Approach
Quantitative + Longitudinal + Secondary Data
Objective
Identify trend shifts and cost implications linked to disclosure requirements.

🔍 Research Question

How do evolving ESG disclosure requirements impact audit costs for mid-sized UK firms over time?

💡 Why It Matters

Understanding cost dynamics helps firms and regulators anticipate compliance burdens and resource allocation shifts.

🔧 Method Summary

  • Secondary data from public filings
  • Longitudinal panel analysis
  • Quantitative trend modelling
  • Controlled for firm size and sector

📤 Output

Trend-based model showing how disclosure requirements correlate with audit cost trajectories over multiple reporting periods.

Research Timeline

Phase 1
Literature framing
Phase 2
Variable finalisation
Phase 3
Dataset + trend modelling
Phase 4
Interpretation + reporting

Live Lab Dashboard

Real-time overview of active systems, research progress, and current builds.

🖥️ Infrastructure Status Online

Private server environment running. All monitored services operational and responding normally.

Manual status
⚡ Automation Status Active

API-driven workflows and scheduled tasks are operating. Bot systems processing signals as configured.

Manual status
🔨 Current Build In Progress
  • Automation dashboard refinements
  • Infrastructure monitoring improvements
  • ESG analysis model iteration
Manual status
🎯 Focus Areas
  • ESG reporting research & longitudinal analysis
  • Financial modelling & data interpretation
  • Automation systems & API integration
  • Server infrastructure & monitoring

Resume

Education, skills, and project highlights at a glance.

📄 Download CV 🔗 View LinkedIn
  • BSc (Hons) Accounting & Finance — University of Salford
  • Final-year student with focus on quantitative methods and regulatory analysis
  • Business Integration Project: ESG Reporting & Audit Cost Dynamics
  • Python, API Integration, Automation Systems, AI Implementation
  • Server Hosting, Linux Management, Monitoring & Deployment
  • Financial Modelling, Data Interpretation, Scenario Analysis
  • Quantitative & Longitudinal Research Methods
  • ESG Reporting, Audit Cost Dynamics, Regulatory Analysis
  • AI Trading Bot — signal processing, API workflows, reliability systems
  • Private Server Infrastructure — monitoring, services, structured deployment
  • Financial Analysis Tools — modelling, scenario analysis, clean reporting
  • ESG Reporting & Audit Cost Dynamics — longitudinal quant analysis
  • Secondary data analysis from public filings (mid-sized UK firms)
  • Trend modelling of disclosure–cost relationships over multiple periods

Let's build something measurable.

Whether it's research, systems, or finance — I'm open to opportunities and collaboration.

✉️ Email 🔗 LinkedIn 💻 GitHub
✅

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