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Theresa (Reese) Phamduy, Ph.D.

Theresa (Reese) Phamduy, Ph.D.

Digital Transformation Leader | Advancing Beauty Tech & Consumer Intelligence through AI/ML

Greater Cleveland, United StatesCosmetics
Company
L'Oréal
Title
Global Lead, Consumer Insights & Market Intelligence Platforms
Seniority
Head
Department
Master Information Technology
Location
Greater Cleveland, United States
Industry
Cosmetics

About

I am a Digital Transformation Leader and Ph.D. scientist with over a decade of experience driving Beauty Tech innovations within L'Oréal’s Research & Innovation (R&I) ecosystem. My career is defined by a unique evolution: from translating scientific measurements into compelling product claims, to leading enterprise-wide digital transformations that turn global consumer feedback into actionable intelligence.I transform complex AI/ML capabilities into actionable Beauty Tech strategies. By driving operational excellence and leading agile teams, I build global platforms that empower the business to listen to the consumer at scale and innovate with precision.

Experience

Global Lead, Consumer Insights & Market Intelligence Platforms

L'Oréal

Present

Spearheaded the global strategy and rollout of an enterprise AI-powered market intelligence platform, leveraging NLP to analyze 300M+ consumer reviews and translate raw market data into actionable product innovation. By developing predictive GenAI capabilities and scaling adoption to 1000+ global monthly users, I empowered cross-functional teams (R&I, Marketing, Business, and Operations) to identify competitive white spaces, outpace disruptors, and unlock nearly €5M in annual savings.

Principal Scientist, Digital Transformation for Competitive Intelligence

L'Oréal

Present

Led the digital transformation of competitive intelligence by solving complex data silos between R&I, Marketing, and external market sources. I engineered an LLM-powered data matching algorithm (LOOP) to automatically link market products with internal proprietary formulations at scale. This foundation powered a new suite of automated BI dashboards, accelerating strategic data retrieval by 6x and saving cross-functional leaders weeks of manual reporting effort annually.

Associate Principal Scientist, Lead Data Analyst, Consumer Intelligence

L'Oréal

Pioneered data analytics strategies across both consumer insights and operational forecasting. I engineered early text analytics models to extract actionable product intelligence from online ratings and reviews, laying the foundation for enterprise-wide sentiment tracking. Concurrently, I architected a centralized BI ecosystem that automated capacity planning for 1,800+ global projects, replacing fragmented tracking across 65+ managers and eliminating 100+ hours of manual reporting per category leader.

Associate Principal Scientist, Evaluation Intelligence, Research & Innovation

L'Oréal

Led a 12-member, multi-category Instrumental Evaluation team (Skin, Hair, Makeup) to drive a global portfolio of technical evaluation methodologies. I spearheaded transversal data initiatives to optimize operations, building interactive reporting tools for real-time capacity planning and demand forecasting. By championing scientific innovation and IP development, I empowered the team to produce 3 patents and 5 publications, successfully establishing KPIs to track and elevate our technical communication outcomes.

Group Leader, Evaluation Intelligence, Research & Innovation

L'Oréal

Directed a technical bio-instrumental evaluation team, managing a $100K+ research budget to drive clinical research and creative claims strategies for skincare technologies. Championed inclusive product development by embedding inclusivity into the core of our team strategy by spearheading foundational research in color measurement and radiance perception specifically designed to analyze diverse ethnicities, skin tones, and age groups.

Senior Scientist, Evaluation Intelligence, Research & Innovation

L'Oréal · Clark, NJ

Pioneered advanced 3D and 4D clinical imaging methodologies to objectively quantify in vivo product efficacy and biomechanical performance. By complementing subjective clinical grading with objective, data-driven biometrics, I provided cross-functional teams with the precise efficacy data needed to develop and launch scientifically validated products.

Data Analyst

Climbing Business Journal

Climbing Business Journal is dedicated to providing business news and analysis of the indoor climbing industry. I currently provide deep analytics for market research, data-driven solutions for business development, and data content for the climbing gym industry.

Consultant

HRL Laboratories, LLC · Union, NJ

Architected a comprehensive $443K capital expenditure (CapEx) strategy to design and build a state-of-the-art clinical bioinstrumentation laboratory. I developed a high-ROI business case projecting $360K in new annual revenue by capturing enterprise CPG testing overflow, achieving a 1.25-year CapEx payback period. Curated a bespoke equipment portfolio and established a lucrative testing partnership bridge between SGS/HRL and L'Oréal.

Consultant

Precision MicroFab · Curtis Bay, MD

Advised engineering team, designed, and built the 3rd-generation laser-based bioprinter equipped with PI controllers for environment regulation and capable of automated single-cell printing

Education

Tulane University

Doctor of Philosophy (PhD), Biomedical/Medical Engineering

Rensselaer Polytechnic Institute

Master's degree, Biomedical/Medical Engineering

University of Massachusetts Lowell

Bachelor's degree, Chemical Engineering

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