BUSINESS ANALYTICS × PRODUCT × FINANCE

I turn complex data into decisions people can act on.

I'm Chotchuang, a business-minded analyst and builder working across growth, product, fintech, market intelligence, and data systems.

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DECISIONINTELLIGENCEevidence → action

GROWTH

PRODUCT

FINANCE

SYSTEMS

16projects curated

11completed cases

2active builds

3concepts & research

PRODUCT OPERATIONS PATH

From an operational gap to a measured weekly cadence.

Start with the travel marketplace case: prioritize content gaps, test an intervention, and use a weekly brief to surface exceptions and next actions.

Open the case study

WHAT TO INSPECT

Decision: which property-content gaps should be fixed first?
Evidence: public listings and synthetic clickstream, with proxy and simulated impact labelled.
Operating output: a ranked backlog, experiment readout, and weekly Product Ops brief.

Public listings + synthetic clickstream · Proxy and simulated impact

SELECTED CASES

Current portfolio work, ready to inspect.

Browse all 16 projects

01Complete

Analytics & Growth

Merchant Growth

An end-to-end decision system for merchant acquisition, retention, campaign economics, wallet adoption, and financing risk.

Deterministic synthetic data · Simulated and modeled impact

SQLDuckDBPythonStatistics

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02Complete

Analytics & Growth

Travel Analytics

Four equal travel-marketplace cases: content triage, funnel experiment, weekly ops packaging, and public-source readiness operations.

Public listings + synthetic clickstream · Proxy and simulated impact

PythonSQLExperimentationTableau

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03Complete

Analytics & Growth

E-commerce Growth

Commercial analysis of channel quality, mobile funnel performance, product mix, and refund risk across a 1.7M-row dataset.

Public learning dataset · Historical analysis and planning estimates

PostgreSQLDuckDBSQLStatistics

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BUILD IN PROGRESS

Work being completed with the same evidence standard.

01In progress

Finance & AI

BlueX

A systematic momentum-scoring and portfolio-research platform that turns multi-timeframe signals into evidence-led decisions for portfolio management.

Proprietary research system · Public pages are scrubbed metrics/UI only · Not trading advice

PythonReactMachine learningBacktesting

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02In progress

Product & Automation

Daily Intel Hub

An automated intelligence pipeline for market data, fundamentals, travel-price monitoring, and recurring decision briefs.

Engineering lab · Partially operational

PythonSQLiteLangGraphAutomation

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ARCHIVE & SUPPORTING WORK

Earlier coursework, concepts, and focused research.

Browse the full archive

These items remain available for context, but the selected cases above represent the current portfolio focus.

HOW I WORK

Commercial judgment, analytical depth, and honest evidence.

Frame the decision

Start with who must choose what—not with a tool, model, or pre-selected chart.

Build the evidence

Connect data models, analysis, experiments, and economics into one inspectable argument.

Label the limits

Separate observed results from simulations, proxies, estimates, and concept proposals.

MY RECENT WORK EXPERIENCE

Building partnerships in a technology team.

In 2025, I was listed as Director, Business Development, Thailand at ParallelChain Lab. The profile and team directory below document that role and the broader group I worked alongside.

Role profile from the former ParallelChain Lab team site.

Team directory from the former ParallelChain Lab site.

CAPABILITIES

Analytics

SQL · Python · statistics · experimentation · visualization

Business

Growth · unit economics · partner strategy · KPI design

Product

Funnels · prioritization · automation · operating cadence

Finance & AI

Portfolio analytics · fintech · ML research · agent systems