Mohammed Mishal

• Developed machine learning models for predictive analytics, classification, and
clustering applications.
• Designed and implemented data preprocessing workflows for structured datasets.
• Conducted exploratory data analysis and statistical analysis to identify patterns and
trends.
• Applied feature engineering and feature selection techniques to improve model
performance.
• Developed analytical reports and visualizations to support business decision-making.
• Utilized Python, SQL, Pandas, NumPy, and Scikit-learn throughout the machine
learning lifecycle.
• Collaborated with multidisciplinary teams to deliver AI-driven business solutions.
• Evaluated and optimized machine learning models using industry-standard
performance metrics.

• Built machine learning models using Logistic Regression, Linear Regression, KNN,
SVM, and Naive Bayes.
• Applied clustering and dimensionality reduction techniques including K-Means and
PCA.
• Conducted exploratory data analysis and feature engineering on multiple datasets.
• Developed data visualization reports and dashboards.
• Worked on object detection and computer vision projects using YOLOv8 and RCNN.
• Assisted in model training, testing, evaluation, and performance optimization.