Thomas Canty

Data Analytics | Data Scientist | Leading Predictive Models, Scalable Data Solutions

Role
Senior Manager - Analytics Engineering at Bristol Myers Squibb
Location
Trenton, NJ, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Thomas Canty

With 5 years in data analytics, I specialize in predictive modeling, data integration, and developing scalable pipelines to enhance visibility and decision-making. At my current role, I have led impactful initiatives such as forecasting human resource needs, optimizing warehouse space for clinical manufacturing, and building dashboards that empower stakeholders with actionable insights. My passion lies in leveraging data science to identify opportunities and drive business strategy. By collaborating across teams, I have contributed to creating robust databases and aligning analytics with organizational goals. My expertise in data operations and reporting ensures that solutions are not only innovative but also practical and scalable.

Experience

  1. Senior Manager - Analytics Engineering

    Bristol Myers Squibb

    Jul 2025 — Present · NJ, US

Education

  • Rutgers University

    Bachelor of Science (B.S.), Chemical and Biochemical Engineering

    2005 — 2009

  • Indiana University of Pennsylvania

    Bachelor of Arts - BA, Psychology

    2001

Skills

  • Engineering
  • Design of Experiments
  • Manufacturing
  • R&D
  • Matlab
  • Process Optimization
  • Process Simulation
  • Technology Transfer
  • Analysis
  • Statistics
  • Validation
  • Chemical Engineering
  • Simulations
  • Data Analysis
  • Chemistry
  • Biotechnology
  • Process Engineering

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Thomas Canty — Senior Manager - Analytics Engineering at Bristol Myers Squibb in Trenton, NJ, US | Unifers