Sam S. Won

DS/ML Engineer

ABOUT ME

I am a Development Data & Analytics Manager and Full-Stack Engineer with a passion for building systems that bridge the gap between complex data and intuitive user experiences. With over 8 years of experience, my journey has taken me from developing predictive models for global financial institutions to architecting custom software solutions for small businesses.

I thrive at the intersection of data, technology, and strategy—believing that a well-designed frontend is just as critical as a robust backend. Currently driving clinical trial analytics at Amgen, I specialize in designing scalable data pipelines and machine learning solutions that solve real-world problems.

Whether I'm optimizing a neural network, building a cross-platform mobile app, or perfecting my morning espresso, I bring the same practitioner's mindset: a relentless pursuit of precision within the process. I am always eager to learn, adapt, and push the boundaries of what's possible with code.

CURRENT ROLE

Amgen

Amgen Inc.

Thousand Oaks, CA

Development Data & Analytics Manager

Jan 2025 - Present

As part of the Operational Design Analytics (ODA) team within Clinical Program Operations, I drive the success of clinical trials through data-driven approaches. I facilitate the development of predictive and custom analytics deliverables, partnering across cross-functional teams to ensure quality and efficiency in our data ecosystem.

My expertise in utilizing historical reference data and proficiency in data curation contributes to enhanced clinical operational planning and the creation of high-confidence predictive modeling datasets.

Surface feasibility parameters and historical trial performance metrics (enrollment, screen failure, drop-out rates).

Leverage predictive analytics tools (Trial Trove, Site Trove, DQS) to inform study planning and placement decisions.

Collate global site performance data to recommend effective geographic footprints for specific study requirements.

Drive innovation and continuous improvement in data-driven clinical trial execution.

LATEST PROJECTS

A selection of my recent work in Machine Learning, Data Analytics, and Full-Stack Engineering.

SPECIALIZATIONS

DS/ML

  • Python
  • R
  • Rust
  • GoLang
  • JavaScript

ML/DevOps

  • Docker
  • Kubernetes
  • Git
  • Jenkins

Web Dev

  • Next.js
  • Flask/Django
  • Flutter
  • Swift

App Dev

  • Flutter
  • Swift
  • Electron
  • Flet
  • Shiny

EDUCATION

University of California, Berkeley

University of California, Berkeley

Master of Information and Data Science

Received a rigorous, interdisciplinary education focused on data science, machine learning, and information systems. The program emphasized hands-on learning through collaborative projects, real-world datasets, and partnerships with industry leaders.

Core Coursework

  • Machine Learning Systems Engineering
  • Machine Learning at Scale
  • Applied Machine Learning
  • Experiments and Causal Inference
  • Research Design for Data and Analysis

Capstone: A World for Every Child

Integrating ML to improve childhood cancer diagnosis in under-resourced areas.

Montclair State University

Montclair State University

Bachelor of Science, Mathematics

Developed strong analytical and problem-solving skills through rigorous coursework in advanced calculus, linear algebra, statistics, and computational methods.

Core Coursework

  • Operations Research
  • Advanced Calculus
  • Statistics & Probability
  • Linear Algebra
  • Data Structures & Algorithms