• Built state-space time-series models (StatsModels UnobservedComponents) to decompose automotive sales into baseline, trend, and seasonal components, separating promotion-driven lift from organic demand.
• Forecast automotive sales using the decomposed model; production outputs feed stakeholder planning on inventory and campaign timing.
• Maintain and improve existing ML pipeline; productionize models for stakeholder forecasting needs.
• Research, prototype, and implement new modeling approaches to expand forecast coverage and accuracy.

• Won 1st prize and $5K in the Uniswap Analytics Grants (Sep 2024) for an open-source DeFi analytics model.
• Published open-source dbt models on Dune.com for major DeFi protocols (Uniswap, Aave, and others) — used as canonical reference by other protocol analysts in the community.
• Built custom analytics dashboards and ran growth-campaign analyses for boutique DeFi clients, contract-by-contract.
• Concurrent role: Data Analyst / Machine Learning Engineer at FPT Vietnam (Apr 2026 – Present).

Owned growth analytics for Tiki’s notification system; led a team of 3 analysts across web + app surfaces.

• Ran A/B tests on send-time and copy thresholds on email, web push, and in-app push — improved notification open rate while minimizing spam.
• Mapped first-purchase user journeys across web + app; surfaced the activation threshold and drop-off steps that informed product team re-designs.
• Analyzed engaged-user patterns to develop retention and lifetime-value strategies.
• Stack: BigQuery + dbt + Looker + Airflow + Amplitude + Superset. Data model versioning with Bitbucket.

Monitored ecommerce category financials, achieving target growth rates by identifying and resolving issues with category leaders.

• Built the Ecommerce Sales Funnel report (visits → conversion → revenue) for category-level FP&A review; replaced 2-hour manual pulls with a 30-minute automated refresh on SQL + Python.
• Enhanced retail cash cycle through ETL of inventory data from ERP to BigQuery, contract reviews, and payable forecasting.
• Recommended negotiations for better supplier deals, increasing intake margins, reducing prices, and boosting revenue and gross margins.
• Built a logistics cost dashboard to analyze and reduce fulfillment and transportation expenses.
• Monitored category P&L; surfaced variance drivers and recommended reallocations to hit monthly growth targets.
• Stack: SQL (BigQuery), Python (Pandas) for report automation.

Assisted Finance Director with financial planning, analysis, business partnering, and project management.

• Analyzed monthly Profit and Loss variances to identify trends, risks, and insights for revenue and costs.
• Co-developed a purchasing strategy with the Purchasing Manager, resulting in $580k savings.
• Built financial models to optimize payment plans for key suppliers.
• Led a three-member team in establishing a new fixed asset management system, rebuilding a database of 1,200 assets and reducing monthly tasks from two days to one.
• Researched market values to compute insured amounts, mitigating potential losses of $2.8 million.
• Accelerated reporting processes using VBA/Macros for repetitive tasks.

Managed supply chain finance from production to sales and marketing in the North hub.

• Controlled Capex expenses and evaluated operational improvement projects.
• Analyzed asset movements and managed slow-moving/obsolete stocks.
• Supervised contractors for a $50 million business expansion project.
• Coordinated with Marketing to oversee promotion programs.