Oz Sharabi

• Preprocess and analyze multiple type of images
• Alignment of images and camera calibration
• Visualize images to provide clear insights to user
• Develop and implement Python code in production system

Enhanced data-driven decision making by implementing machine learning models and algorithms:

• Applied anomaly detection , geometry and clustering algorithms in order to detect and alert on problematic steps in PCB manufacturing
• Developed and deployed CNN-based model, combined with clustering - for detection of PCB regions with high tendency to defects
• Connected between different stages in PCB manufacturing, based on geometrical and tabular data analytics.

• Worked on end-to-end projects, from data query and processing to model design and deployment:
• Built and deployed in production - classification models for predicting customers' response upon changing fees.
• Evaluated optimal distribution of medical services, based on high volume data
• Contributed to several clinical researches, including data and statistical analyses - children's ADHD prevalence, smoking effects, etc.

• Detection of genomic regions associated with agronomical traits
• Applied several methods such as clustering, data decomposition and inferential statistics to study linkage between genetics and traits.