Open to opportunities

Carolin Su

@carolinsu

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Senior Data Scientist and Business Consultant delivering production-grade AI and decision-ready analytics.

Taiwan

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What I'm looking for

I’m looking for a role where I can build production-grade AI, design pipeline-level solutions, and work cross-functionally under ambiguity—turning uncertain problems into decision-ready outputs for executives, researchers, and real-world stakeholders.

I’m a Senior Data Scientist with 6+ years of experience delivering production-grade AI solutions across research, industry, and government domains. I specialize in translating high-uncertainty problems into robust analytical systems that produce decision-ready outputs for executives and researchers, grounded in mathematics, economics, and computational thinking.

At PwC, I contributed to digital transformation by leading stakeholder interviews, workflow analysis, and AI opportunity assessment for financial and public-sector clients. I also conducted domain research on drug shortage risks and helped deliver a client-facing report highly commended for strategic clarity.

In research and applied ML roles, I developed and collaborated on neural polarity classification models (96% accuracy) and redesigned a legal text analysis system to improve maintainability while reducing project size by 70%. I also built flexible, modular experiment pipelines for gravitational-wave classification and co-first-authored a publication in The Astrophysical Journal—always iterating toward real-world impact.

Experience

Work history, roles, and key accomplishments

Senior Associate

PwC

Jul 2024 - Sep 2025 (1 year 2 months)

Led stakeholder interviews and workflow analysis to identify operational pain points and assess opportunities for integrating emerging technologies into existing processes. Conducted AI research on drug shortage risk and delivered a client-facing report commended for strategic clarity.

Workflow Analysis Digital Transformation Client Facing Domain Research Process Analysis

Data Scientist

National Center for Theoretical Sciences

Feb 2018 - Jul 2022 (4 years 5 months)

Built production applied-ML systems across small-data neural polarity classification and interdisciplinary experimental workflows. Achieved 96% classification accuracy, reduced manual identification time by 80%, and redesigned a legal text analysis workflow to improve maintainability and reduce project size by 70%.

Python R SQL PyTorch TensorFlow Modular Pipeline Design Big Data Analytics Data Visualization Git

Data Scientist

TrendForce Corporation

Aug 2017 - Jan 2018 (5 months)

Developed the company’s first AI-based investment decision support system to support senior leadership. Implemented an investment algorithm in Python that delivered a 4.4% return over one month and became a core departmental component.

Python Machine Learning Algorithm Design

Research Assistant

Academia Sinica

Dec 2015 - Jul 2017 (1 year 7 months)

Delivered large-scale data analysis for the national academy, including 6M USPTO patent analysis to study factors affecting application pendency and global technology trends. Applied statistical analysis and scalable data processing to extract decision-ready insights.

R Apache Spark Patent Analytics Large Scale Analysis Data Visualization Trend Analysis Statistical Modeling