Hi, I’m Bouthaina, a passionate Data Scientist and Machine Learning Engineer with a knack for turning complex data into actionable insights. I have hands-on experience in designing, training, and deploying machine learning models, and I’m enthusiastic about leveraging AI to solve real-world problems, especially in healthcare and cybersecurity.
I enjoy collaborating with experts from different fields to create impactful solutions that make a difference. When I’m not coding or modeling, I love exploring new AI technologies and applying them to improve processes and outcomes.
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● Assisted in collecting, cleaning, and analyzing large datasets to generate business
insights.
● Developed and maintained data models and statistical algorithms.
● Collaborated with cross-functional teams to support strategic initiatives through
data-driven decision-making.
● Developed a deep learning-based drug prediction model using autoencoders to
construct population graphs.
● Utilized machine learning algorithms, including Random Forest, to predict drug
effectiveness and interactions for patients.
● Preprocessed large clinical datasets, ensuring the accuracy and quality of input data
for model training.
● Deployed the model in a real-world healthcare setting to assist healthcare providers
in personalized treatment plans.
● Collaborated with medical experts to interpret results and refine the prediction system
for better decision-making.
Description: Developed a deep learning model using Convolutional Neural Networks (CNNs) to detect potholes in road images.
Tools: Python, OpenCV, TensorFlow, Keras
Impact: Created a system that could assist municipalities in automating road condition monitoring, reducing manual inspection time and increasing safety.
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