Alisha Shoaib

Software Engineering student with interest in web development, database management, and machine learning. Passionate about learning modern technologies and improving problem-solving skills. Strong teamwork, communication, and project collaboration abilities with academic software development projects and remote machine learning internship experience.

Machine Learning Intern at FlyRank (2026 – 2026)

• Analyzed search performance data to identify content-performance trends and optimization opportunities.
• Developed and evaluated machine learning models, including Decision Tree models, for identifying declining content and actionable recommendations.
• Performed data preprocessing, feature analysis, model evaluation, and validation using ROC-AUC, Average Precision, and accuracy.
• Built an ML-based action scoring and prioritization workflow with reason codes and recommended actions.
• Used Python, Pandas, Scikit-learn, Jupyter/Google Colab, and GitHub during the internship.

Machine Learning Intern at CodeAlpha (2026 – 2026)

• Used Python and machine learning techniques to work on data-driven prediction tasks.
• Performed data preprocessing, feature analysis, and model evaluation as part of machine learning projects.
• Worked on machine learning workflows involving data preparation, model training, and evaluation.

BS in Software Engineering – Superior University (2023 – 2027)

FSC in Pre-Engineering – Punjab College (2021)

Matriculation in Bio Science – Government Model Girls High School Gulshan-e-Ravi, Lahore