Jamilah Rabeh

• Turned unstructured data into useful information by auto-tagging images and text-to-speech conversions.
• Utilized data modeling and evaluation strategies to find patterns and predict unseen instances
• Selected appropriate datasets and data representation methods.
• Researched and implemented best practices to improve existing machine learning infrastructure.
• Expertise with Python, PyTorch and/or Tensorflow, Pandas, and common ML Cloud services
• Consulted with managers to determine and refine machine learning objectives.
• Developed ML algorithms to analyze huge volumes of historical data to make predictions.
• Conducted statistical analysis and interpreted results to guide the organization's decision-making process
• Managed infrastructure and data pipelines to bring codes to production.
• Designed machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
• Constructed the Prediction of used car price in Saudi Arabia with 80 accuracy
• Constructed the Phishing website classifier with 97 accuracy
• Constructed the Parking violations system, detected wrong parking and occupied, available park with 99% accuracy
• Constructed the Chatbot and call bot system in the Arabic language with 99% accuracy
• Constructed Automated system to text analysis with 90% accuracy

Teacher technician in software at Institute of Kingdom Girl

• Establish Python Programming Materials
• Teach python programming
• Used Microsoft Word and other software tools to create documents and other communications

• Produced detailed reports to track trends and keep senior management informed
• Drove workflow improvements by streamlining processes
• Contributed to team goal-achievement by collaborating with staff to develop customer service improvement initiatives