Open to opportunities

Trieu Nguyen

@trieunguyen

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Senior data engineer driving ML, optimization, and scalable data platforms.

United States

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What I'm looking for

I seek impactful data engineering or ML roles where I can build scalable platforms, deploy models to production, and collaborate cross-functionally to drive measurable business outcomes.

I am a senior data engineer with deep expertise in machine learning, optimization, and end-to-end data platform development. I have led projects that produced measurable business impact, including a vehicle accessories recommendation engine and supply allocation optimization models that generated significant profit and production gains.

I combine strong engineering discipline with practical data science—building forecasting systems, ETL pipelines, and fraud detection models, and delivering executive-facing visualizations. I collaborate across functions to scale predictive analytics, improve inventory accuracy, and automate critical workflows to increase operational efficiency.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Toyota North America

Mar 2023 - Present (2 years 6 months)

Spearheaded development of a vehicle accessories recommendation engine generating $18M annual profit and built supply allocation optimization models with Gurobi that increased production by 40,000 units and added $290M in profit; implemented ML demand forecasting improving inventory accuracy by 20%.

Python Gurobi Forecasting Optimization SQL Spark Databricks MLOps

Data Analyst

London Stock Exchange Group

Jun 2021 - Mar 2023 (1 year 9 months)

Developed and deployed a Python-based fraud detection model and automated ETL workflows with SQL/Python, and built Power BI dashboards to increase KPI transparency for executives.

Python SQL Fraud Detection ETL Power BI Data Visualization Dashboarding SQL Server

Data Analyst

GAF

Jun 2018 - Jun 2021 (3 years)

Conducted data-driven experiments and built predictive models to assess product durability and optimize manufacturing processes, informing new product design decisions.

Experiment Design Python R Statistical Analysis Data Visualization

Process Engineer

ADM

Oct 2016 - Oct 2017 (1 year)

Applied statistical process control to monitor and optimize production yield and developed automation scripts for data collection that reduced reporting time.

Scripting Data Collection Python SQL Process Optimization

Engineering Co-op

Continental

May 2014 - Aug 2016 (2 years 3 months)

Supported manufacturing teams with data analysis for quality improvement projects and designed reports to track production efficiency and reduce downtime.

Data Analysis Reporting SQL Excel Quality Improvement Root Cause Analysis