Sakeena Batool

Worked as Product Developer at TAHSEEN AI.

Spearheaded the full-scale redesign and modernization of the official TAHSEEN AI web platform, optimizing information architecture and user journeys. Engineered and launched the University Major Selection & Personality Discovery platform, developing psychometric scoring models and Saudi university weighted-score matching algorithms.

Analyzed customer service logs to identify operational bottlenecks, contributing to a 15% reduction in average response time. Generated weekly performance reports tracking SLA compliance and trained 10+ new employees, maintaining a 90%+ customer satisfaction rate.

- Delivered exceptional customer service, resolving inquiries and issues efficiently and maintaining high customer satisfaction.
- Trained new part-time employees, developing their knowledge and customer service skills to ensure consistent service quality.
- Adapted quickly to full-time responsibilities, demonstrating strong organizational and communication skills to meet increased demand during p

- Developed a data warehouse that integrated product data from multiple sources, resulting in reduction in manual data entry.
- Developed an enterprise data model that integrated data from multiple sources and enabled consistent data access across the organization.

Designed and implemented a centralized data warehouse integrating 3+ data sources, reducing manual data entry by 35%. Developed an enterprise data model that improved data accessibility and reduced query retrieval time by 25%.

Worked as Internship Trainee at Tamimi Markets.

Jan 2025

Grade: Distinction

Master of Science in Applied Computing (Data Science) with Distinction, achieving a CGPA of 3.67/4.00.

- Developed expertise in data analysis, machine learning, and big data management. The program emphasized practical application through capstone projects, focusing on data engineering, visualization, and model building skills essential for data-driven decision making in professional environments.

- Capstone project title: “Enhancement of Machine Learning Algorithm for Detection of AI-Generated Im

Ranked top 10% and entered Dean’s List for a semester

Grade: Cum Laude

Bachelor of Science in Computer Science, graduated Cum Laude with a CGPA of 3.64/4.00, ranked in the top 10% of the class and a Dean's List honoree.

Dec 2018