Nassima Gannoune

Project: PCB Inspection ●Conducted a thorough literature review on state-of-the-art methods for defect detection in printed circuit boards (PCBs) using machine learning algorithms. ●Proposed a solution based on an object detection algorithm to identify defects in PCBs. ●Selected and preprocessed the appropriate dataset for model training. ●Trained the machine learning model to enhance accuracy in defect detection. ●Improved model performance and explored new approaches to optimize project results. ●Extended the research by investigating advanced techniques in PCBA Inspection.

✅️AWS Services Training: ● I had the opportunity to enhance my skills in Amazon Web Services (AWS) through comprehensive courses and workshops. ● Hands-on experience with AWS cloud services. ✅️Data science project: ● Developed a deep learning model using an LSTM (Long Short-Term Memory) architecture to predict stock prices. ● Applied expertise in machine learning, time series analysis, and predictive modeling.