Hi, I’m Sandra Sabu, a proactive and detail-oriented AI graduate and virtual assistant with a proven ability to manage communications, perform administrative tasks, and provide high-level support in fast-paced, collaborative environments. I’m fluent in English and skilled in the use of modern apps and productivity tools.
I bring strong problem solving skills and experience in online research, reporting, creative writing, and scheduling, along with a solid background in data visualization and AI-driven projects. I’m committed to excellence, professional communication, and contributing to the growth and success of dynamic teams.
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Developed music genre detection using CNNs for album covers, enhancing image classification analysis
technique, experienced in data preprocessing, model training, and evaluation for computer vision tasks.
Chose a hybrid CNN model for superior feature extraction and temporal analysis, achieving improved
performance.
Conducted comparative running model evaluations to identify the most accurate and computationally
efficient design.
Summarized and managed project outcomes in a comprehensive final report, highlighting key challenges
and recommendations for future improvement.
Achieved a genre classification accuracy rate of 92% through rigorous model training and optimization as
demonstrated by figures showcasing model performance metrics such as precision, recall, and F1-score.
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