Tom Davidoff

Senior Data Scientist
Beverly Hills
Davidoff Thomas SharePoint for Teams 01062023

Tom Davidoff is a Senior Data Scientist at P&C Global, where he serves as a pivotal member of the Data & Cognitive Sciences, Artificial Intelligence, Strategy & Innovation, and Corporate Performance practice groups. Based in Los Angeles, Tom combines his 20+ years of expertise in data science, artificial intelligence, and predictive analytics with a passion for driving transformative outcomes. His innovative contributions span industries including Financial Services, Manufacturing, Travel & Hospitality, Global Logistics, Commercial Real Estate, and Law Firm operations.

Tom’s distinguished academic journey is a testament to his dedication to lifelong learning and technical excellence.  He earned his Bachelor of Science in Computer Science and Engineering from the Massachusetts Institute of Technology. He holds a Master of Science in Computer Science, specializing in Artificial Intelligence from Stanford University and a PhD in Computer Science, focused on Data Science, from Carnegie Mellon University.

Tom’s career reflects a logical and steady progression through roles of increasing responsibility and influence. He began his career at JPMorgan Chase as a Data Analyst where he developed innovative data visualization tools to optimize client portfolios, improving ROI by 12%. He then joined Boeing as Senior Data Scientist where he designed AI-driven algorithms to enhance predictive maintenance, reducing operational costs by $40 million annually. As Director of Data Science at Hilton Worldwide, Tom spearheaded machine learning initiatives that transformed customer personalization and loyalty programs, driving a 30% increase in repeat bookings. Prior to his role at P&C Global, Tom served as Vice President, Advanced Analytics at CBRE Group where he led a global analytics team to integrate AI into real estate decision-making, optimizing leasing strategies and increasing revenue by $100 million.

At P&C Global, Tom continues to deliver groundbreaking solutions that redefine industry standards, drawing on his vast experience to address complex client challenges.  For example:

  • Revolutionizing Data Analytics and Predictive Modeling for a Global Financial Services Firm:
    Tom led a transformative engagement to overhaul the data analytics infrastructure for a leading financial services provider. By implementing a modernized data pipeline and deploying advanced AI-driven predictive models, the project enabled real-time fraud detection and dynamic customer segmentation. These innovations resulted in a 40% reduction in fraud-related losses, a 25% increase in customer retention, and a 30% improvement in cross-selling opportunities within two years.
  • AI-Powered Operational Optimization for a Premier Global Logistics Company:
    Collaborating with the client’s senior leadership, Tom and his team designed and deployed an AI-based platform to optimize route planning and supply chain efficiency. By integrating machine learning models and advanced analytics, the solution reduced transportation costs by 20% and improved on-time delivery rates by 35%. Additionally, the platform’s predictive capabilities identified maintenance issues in advance, lowering equipment downtime by 18% and saving the company $50 million annually.
  • Digital Transformation and Workflow Automation for a Major Manufacturing Enterprise:
    Tom spearheaded a comprehensive digital transformation initiative for a global manufacturing firm facing inefficiencies in production and supply chain management. The project involved the integration of IoT data, predictive analytics, and process automation. Within 18 months, the initiative reduced production cycle times by 22%, improved supply chain visibility by 40%, and achieved annual cost savings of $80 million. Furthermore, the transformation enhanced product quality metrics, resulting in a 15% increase in customer satisfaction scores.

Born and raised in Philadelphia, Tom now calls the vibrant city of Los Angeles home. He finds inspiration in the diversity and energy of his surroundings, balancing his professional life with a love for ocean and exploring the scenic beauty of California and the Pacific Northwest. A devoted family man, he cherishes time with his wife, two children, and their incredible outdoor garden retreat which has won numerous awards.

Tom’s fascination with data began early, sparked by a high school project that analyzed local traffic patterns. “Even then, I was amazed at how data could solve real-world problems,” he recalls. This passion has only grown, leading him to a career where he leverages data to drive meaningful change.

Reflecting on his journey at P&C Global, Tom shares: “What drew me to P&C Global was its reputation for blending cutting-edge technology with human insight to solve the world’s most complex challenges. What keeps me here is the culture—collaborative, forward-thinking, and deeply invested in delivering value for clients. It’s a privilege to be part of a team where innovation isn’t just encouraged—it’s expected.”

On his professional growth at the firm, Tom notes with a smile: “P&C Global has been like a playground for my inner data nerd. Every day brings a new challenge, and I get to work with some of the brightest, most creative minds in the industry. I tell my colleagues, ‘Where else can you discuss quantum computing over coffee and then brainstorm solutions to global supply chain disruptions before lunch?’”

Tom’s warmth, humor, and dedication make him not only a leader in his field but also a colleague and mentor who inspires those around him. Known for his ability to connect with people as much as with numbers, he embodies the spirit of P&C Global—innovative, collaborative, and relentlessly client-focused.

Share
Email

Past Experience

CBRE Group
Vice President, Advanced Analytics

Hilton Worldwide
Director of Data Science

Boeing
Senior Data Scientist

JPMorgan Chase
Data Analyst

Academic Credentials

Massachusetts Institute of Technology
BSc, Computer Science and Engineering

Stanford University
MSc, Computer Science

Carnegie Mellon University
PhD, Computer Science

Postgraduate Credentials

International Association for Quantitative Finance
Certified Quantitative Analyst (CQA)

CQF Institute
Certificate in Quantitative Finance (CQF))

CFA Institute
Chartered Financial Analyst (CFA) Charter

Imperial College London
Professional Certificate in Machine Learning and Artificial Intelligence

SAS Certified Advanced Analytics Professional

INFORMS
Certified Analytics Professional (CAP)

Domain Expertise

Popular Searches DigitalStrategyManagement

Let's Get to Work

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
By using this website, you agree to the use of cookies as described in our Privacy Policy