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Thomas Liu

@thomasliu1

I build demand forecasting and simulation models that improve planning accuracy and quantify uncertainty.

United States
Message

What I'm looking for

I'm looking to build forecasting, simulation, and statistical models that improve planning decisions, while translating uncertainty into actionable insights for technical and nontechnical stakeholders.

At EPAM Systems, I build and maintain demand forecasting models for digital services, improving forecast accuracy by 15% over baseline methods. I use ARIMA, exponential smoothing, Monte Carlo simulation, backtesting, and sensitivity analysis to support capacity and resource planning.

Previously at Texas Instruments, I forecast semiconductor demand using regression, state space, and Bayesian hierarchical models. My work reduced forecast error by 12%, improved quarterly forecast precision by 10%, and automated Python and SQL workflows to save 20 hours per month.

Across Deloitte and Oracle, I've translated economic, demographic, and sales data into validated demand models and clear recommendations. I enjoy making statistical uncertainty actionable for technical and nontechnical stakeholders while mentoring analysts and maintaining reproducible analytical workflows.

Experience

Work history, roles, and key accomplishments

ES
Current

Lead Software Engineer

Jul 2022 - Present (4 years 2 months)

Developed and maintained ARIMA and exponential smoothing models to forecast demand for digital services, improving forecast accuracy by 15%. Led Monte Carlo simulations for uncertainty evaluation and implemented reproducible workflows in Python and R.

Education

Degrees, certifications, and relevant coursework

University of Texas at Austin logoUA

University of Texas at Austin

Bachelor's Degree, Computer Science

2008 - 2012

Bachelor's Degree in Computer Science from the University of Texas at Austin, completed in May 2012.

Tech stack

Software and tools used professionally

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