Saif Ur Rehman

Conducted a year-long academic research project on machine learning; developed predictive models through data analysis and algorithm optimization to improve accuracy. Developed a logistic regression model to detect fraudulent transactions by analyzing transaction patterns, achieving 98% accuracy and reducing false positives in fraud detection.

Assisted in financial analysis and branch operations, applying data-driven strategies to improve process efficiency and achieve a 15% productivity increase. Collaborated with cross-functional teams to enhance customer service delivery and streamline procedures across key banking channels.

Developed and delivered interactive mathematics lessons using digital tools, improving student engagement and increasing average test scores by 18%. Mentored a class of 40 students through personalized learning plans, enhancing problem solving skills and achieving a high course completion rate.