Jemael Nzihou

Jemael Nzihou - Data Scientist

Welcome to my GitHub portfolio! I am a passionate data science researcher with a diverse background spanning chemical engineering, chemistry, and applied business analytics. My expertise lies in leveraging data-driven techniques to solve complex problems across industries, from defense contracting to electronics.

🎓 Academic Background

• PhD in Data Science
  Focus: Advanced data analytics, machine learning, data privacy, and computational methods.
• MS in Applied Business Analytics
  Focus: Predictive modeling, data visualization, and decision analytics.
• Bachelor's in Chemical Engineering
  Focus: Process optimization, chemical systems analysis.
• Bachelor's in Chemistry
  Focus: Analytical chemistry, chemical synthesis, and research methodologies.

💼 Work Experience

• Leonardo Electronics
  Data Analytics Lead
  • Led the development of predictive models to optimize electronic systems performance.
  • Implemented data-driven insights to enhance product design and reduce operational costs.
• Defense Contract Management Agency
  Quality Assurance Engineer
  • Managed quality control processes for defense contracting projects.
  • Applied statistical analysis to improve procurement and production standards.

🎖 Certifications

• Advanced Google Analytics Specialization
  Expertise in web analytics, performance metrics, and digital marketing data analysis.
• Business Intelligence Specialization
  Knowledge of BI tools, reporting, and dashboard creation for strategic decision-making.
• Black Belt Lean Six Sigma
  Skilled in process improvement, operational efficiency, and waste reduction using Lean Six Sigma principles.
• Quality Champion Expert
  Leadership in quality management and compliance, focusing on continuous improvement.

📊 Research Interests

• Machine learning and AI applications in manufacturing and defense sectors.
• Data-driven decision-making in business and technology.
• Process optimization and predictive analytics in engineering systems.
• Statistical methods for quality control and assurance.

🔧 Skills & Tools

• Programming: R, Python, SQL, MATLAB
• Data Visualization: Tableau, Power BI, ggplot2
• Machine Learning: Scikit-learn, TensorFlow, Keras
• Database Management: MySQL, PostgreSQL
• Statistical Analysis: SPSS, SAS, Minitab
• Web Analytics: Google Analytics, Google Tag Manager

Feel free to explore my repositories, where I share projects on data science applications, machine learning models, and insights from my cross-disciplinary background.