Hala Sweidan Sawaged
Director | Launch & Lifecycle Analytics@ Novartis
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Hala Sweidan Sawaged is a highly experienced professional with 12.7 years of work experience. Based in the United States, she specializes in Complex Process Analysis and Continuous Improvement using Lean Six Sigma Techniques, Simulation, and Optimization. Hala is certified in project management and team management, with expertise in change management and statistical analysis. She is also a Lean Six Sigma Black Belt certified professional. With a strong background in Microsoft Office applications and Excel, Hala is proficient in various software applications. She holds a Master's Degree in Systems Science & Industrial Engineering and is fluent in English and Arabic.
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Emails and Phone Numbers

@novartis.com
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About

• Complex Process Analysis & Continuous Improvement Using Lean Six Sigma Techniques, Simulation, and Optimization • Lean Six Sigma Black Belt Certified • Project Management & team management • Change Management Practitioner: Prosci ® & GE Change Acceleration Process (CAP) • Statistical Analysis, Forecasting, and Prediction • Excellent Computer Skills (Microsoft Office Applications, Solver, Simio, Arena, Minitab) • Profound Knowledge in Excel (VLookup, Statistical Analysis, Solver/Optimization, and Pivot Tables) • Excellent Presentation Skills • Master Degree in Systems Science & Industrial Engineering • Proficient in English; Arabic Native; Basic in French

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Work Experience

Novartis Campus, Basel, Baselstadt, 4002, CH

Pharmaceutical Manufacturing

77680
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Hala Sweidan Sawaged's Professional Milestones

  • Director | Launch & Lifecycle Analytics (2022-09-01~): Built cutting-edge data analytics to drive strategic decision-making and optimize launch strategies.
  • Associate Director, Pss Process & Design Improvment (2021-07-01~2022-09-01): Directed successful project development and executed innovative solutions, increasing organizational productivity and customer satisfaction.
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Education

Binghamton University
Binghamton University

Systems Science And Industrial Engineering

1325376000-1388534400
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