Data Analyst / Data Scientist with a strong background in industrial and pharmaceutical environments. Holds a PhD in mathematical optimization and has hands-on experience applying data analysis, statistics, and automatio…
Data Analyst / Data Scientist with a strong background in industrial and pharmaceutical environments. Holds a PhD in mathematical optimization and has hands-on experience applying data analysis, statistics, and automation to improve process performance and decision-making. Skilled in Python, SQL, and Minitab, with a proven ability to translate complex data into clear, actionable insights for technical and non-technical stakeholders. Particularly interested in data-driven process optimization, quality analytics, and applied machine learning.
• Data collection, analysis and visualization of product quality trends for improvement development • Statistical evaluation of batch records, deviation, OOS and OOT • Real-time data monitoring of critical parameters to ensure batch consistency • Computer systems validations • Process validations and Product Quality Review (process capability, control charts and trends) • Quality events investigation (OOT, OOS, CAPAs,…)
Data collection, analysis and visualization of product quality trends for improvement development
Statistical evaluation of batch records, deviation, OOS and OOT
Data acquisition and manipulation
Real-time data monitoring of critical parameters to ensure batch consistency
Data visualization
Computer systems validations
Process validations and Product Quality Review (process capability, control charts and trends)
Quality events investigation (OOT, OOS, CAPAs,…)
Physics and Chemistry IB and BAT teacher
Social Math’s BAT teacher
Physics and Chemistry IB and BAT teacher, Social Math’s BAT teacher
• Develop advanced models and optimization algorithms in Python to simulate and improve energy efficiency• Conduct quantitative analysis of materials alternatives including LCA data to reduce environmental impact• Use Python libraries to process large datasets, automate workflows and visualize multidimensional results to improve materials scalability
Develop advanced models and optimization algorithms in Python to simulate and improve energy efficiency
Conduct quantitative analysis of materials alternatives including LCA data to reduce environmental impact
Use Python libraries to process large datasets, automate workflows and visualize multidimensional results to improve materials scalability
SAP QM/PP modules implantation in Pharma and Chemical companies
Technical and functional development
Project management & Key user training
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