Data & Business Analyst who turns messy business, product, and marketing data into measurable decisions and scalable systems.

I work across SQL, Python, BI, and AI-native workflows to move from "what happened" to "what should we do next" — and I've done the same thing across customer data, product data, and paid acquisition data.

My work keeps circling back to the same pattern: take messy, cross-functional data, find the real question underneath it, and turn the answer into a specific recommendation someone can act on.

My background spans:

• Data and business analysis — SQL, Python, dashboards, KPI definition
• Customer, product, and growth/marketing analytics
• Requirements gathering, stakeholder alignment, and cross-functional delivery
• Multi-country operational data and reporting
• AI-native workflows — using LLMs as part of the actual analysis process, not just for drafting text
• Client-facing technology and implementation, as the evidence behind the analysis — not the job title I'm chasing

My technical background lets me work directly with SQL, Python, and BI tools, while treating the business decision — not the dashboard — as the actual deliverable.

I'm currently focused on opportunities in:

Data Analyst · Business Analyst · Business Operations/Systems Analyst · Growth & Marketing Analytics

View my professional portfolio →

Question → Data → Analysis → Recommendation → Measurement

Question Start with the business or growth question, not the dashboard someone asked for.

Data Pull and validate the data across the systems it actually lives in — product, CRM, ad platforms, support.

Analysis Use SQL and Python to find the real pattern, not just the first metric that shows up.

Recommendation Translate the finding into a specific action, with the tradeoffs and confidence level stated plainly.

Measurement Define upfront how I'll know whether the recommendation actually worked — not just whether it shipped.

Through JYNLAB, I work on the data side of growth and business operations: defining what a real conversion is instead of a vanity metric, building the SQL/Python analysis behind it, and turning that into a specific recommendation.

My work includes:

• Business and growth data analysis (SQL, Python, dashboards)
• Conversion tracking and attribution design
• Requirements gathering and KPI definition
• AI-assisted research, reporting, and workflow automation
• Stakeholder communication — translating analysis into a recommendation, not just a report

Worked across business and technical teams on Data & AI initiatives, translating business needs into actionable requirements and coordinating stakeholders, priorities, milestones, and delivery.

Supported regional operations across Laos, Myanmar, and Vietnam through data analytics, standardized reporting workflows, stakeholder coordination, and multi-country project management.

The first two are my primary focus right now. The rest are here as evidence of technical fluency and problem-solving range, not the main story.

Data & Analysis SQL · Python · Data Analytics · Data Visualization (Tableau / Power BI) · A/B Testing & Attribution

AI & Automation LLM-assisted analysis workflows · AI-assisted research & reporting · Workflow Automation · AI APIs

Systems & Integration REST APIs · Ad Platform & CRM Data (Google Ads, GA4) · Web Technologies · Cloud Platforms

Business & Delivery Requirements Gathering · KPI Definition · Stakeholder Communication · Cross-functional Delivery

My goal isn't to build the most polished-looking dashboard — it's to find the number that actually changes what the business does next.

LinkedIn · Portfolio · Email

📍 San Jose, California