I build the analysis, and the systems behind it.
Economic-impact models, financial-centre research, and the pipelines that keep them current. I rebuilt the Qatar Financial Centre's economic-impact model to within 0.01% of the published result, then automated it end to end.
What I Do
I work at the intersection of financial analysis and the systems that produce it. At the Qatar Financial Centre I reconstructed and validated economic-impact methodology, analysed financial-centre competitiveness, and built the platforms that turned scattered public data into something you could actually query.
My background is finance and economics, but I don't stop at the spreadsheet. I build the ingestion, extraction and modelling pipelines behind the analysis — which means I can take a methodology from a PDF to a working, repeatable system rather than a one-off deliverable.
Work Experience
Special Projects Intern — Business Intelligence
Qatar Financial Centre (QFC) • Doha, Qatar
Jun 2026 – Present
- Designed and built (Next.js, Supabase, Vercel) a Financial Centres Intelligence Platform consolidating 18,000+ corporate entities and regulatory/fund data across QFC/QFCRA, DIFC/DFSA and ADGM/FSRA
- Reconstructed and validated QFC's 2024 Economic Impact Assessment, reproducing company-level GVA within 0.01% of the published result and employment within 1.2%
- Built GFCI competitiveness intelligence across seven GCC centres, analysing published rankings and 133 instrumental factors
- Engineered automated data pipelines with scheduled ingestion, normalization, historical backfills, reconciliation and source-health monitoring
AI Automation & Solutions Consultant (Project-Based)
First Marble and Granite • Doha, Qatar
Jun 2025 – Jun 2026
- Built LLM workflows, internal chatbots, and automations for inquiry/quote intake, document parsing, routing, and ops support
- Implemented guardrails: prompt standards, logging, and human-in-the-loop review
- Enabled adoption with documentation + training for non-technical teams
Finance Analyst
Li Koon Chun Financial Center • Mississauga, ON
Jan 2023 – Jun 2025
- Python data cleaning and statistical reporting for headcount datasets
- Created guides/KB for tools and recurring workflows
- Advised and supported users and faculty across 20+ financial software applications, including Bloomberg
Professional Development & Learning Centre Assistant
University of Toronto — Department of Management
Oct 2023 – Jun 2025
- Organized and led employer engagement workshops in collaboration with EY, Deloitte, and KPMG, personally bringing in industry professionals to share insights on career paths, recruitment expectations, and resume best practices
- Earned recognition through the Professional Skills Development Program (PSDP), completing over 45 hours of training in professional communication, team leadership, and decision-making under uncertainty.
President — Middle Eastern Students' Association (MESA)
University of Toronto Mississauga
Jan 2023 – Aug 2025
- Led a multi-functional student organization delivering large-scale cultural and educational events, overseeing strategy, operations, and execution
- Managed budgeting, financial planning, and post-event performance analysis to improve cost efficiency and funding allocation
- Built and maintained sponsor and partner relationships, negotiating contracts and coordinating vendors across multiple stakeholders
Skills
Economic & Financial Analysis
Data & Analytics
Data Engineering
AI Systems
Software
Finance Tools
Systems I've Built
Analytical platforms and production systems, built with guardrails and failure handling
Financial Centres Intelligence Platform
18,000+ entities across three financial centres, normalized into one comparable dataset.
Make the company populations of QFC, DIFC and ADGM directly comparable, so questions about who actually operates in each centre can be answered from data rather than assembled by hand.
Three registries with incompatible schemas and terminology
Raw source data preserved unmodified for audit, Normalized taxonomy applied as a separate layer, never destructively
Economic Impact Assessment Platform
Financial statements in, validated GVA and employment estimates out.
Turn a consultant-delivered economic-impact methodology into a system the organisation can run itself, with assumptions it can inspect and change.
Statements arrive as unstructured PDFs with no consistent layout
Extracted fields validated against expected schema before entering the model, Reconciliation step for duplicates, missing records and reporting-year mismatches
AI Inquiry-to-Quote Workflow
Automated email + attachment intake into structured quote-ready data.
Automate inquiry processing to reduce manual work and standardize quote intake.
Must handle unstructured emails and various attachment formats
JSON schema validation for all extracted fields, Confidence thresholds trigger human review
Pipeline Example
Interactive walkthrough of a document-to-decision pipeline with validation and human review
📚 How to use this demo:
- Auto Mode: Watch the pipeline run automatically with 4-5 second pauses between steps
- Step-by-Step Mode: Click through each step manually at your own pace (recommended for learning)
Intake
Extract
Validate
Route
Output
Let's Work Together
I'm always open to discussing new opportunities and interesting projects.
Get In Touch