Singapore Resume Example

Senior Project Manager · DBS Bank

Singapore · 2023 - Present

• Managed a portfolio of 5+ concurrent digital transformation projects, delivering 100% of initiatives on schedule and achieving an average 15% improvement in operational efficiency.
• Led the implementation of a new cloud-based CRM system for 500+ users, resulting in a 25% reduction in customer onboarding time and a 10% increase in customer satisfaction scores.
• Spearheaded the integration of AI-driven analytics tools into risk assessment processes, reducing false positive alerts by 30% and saving approximately SGD 1.2M annually.
• Orchestrated cross-functional teams of 15+ members, fostering a collaborative environment that improved team productivity by 20% and reduced project churn by 15%.

Project Lead · Accenture

Singapore · 2020 - 2022

• Directed end-to-end project lifecycle for key client engagements, overseeing budgets up to SGD 500K and consistently achieving project completion within a 5% variance of projected costs.
• Implemented process automation solutions for financial services clients, leading to an average 20% cost reduction in manual operations and improving data accuracy by 99%.
• Developed and delivered comprehensive training programs for over 100 client employees, ensuring smooth adoption of new systems and achieving a 90% user proficiency rate.

Master of Science in Business Analytics · National University of Singapore

Singapore · 2018 - 2019

Bachelor of Science in Management (First Class Honours) · University of Manchester

Manchester, UK · 2015 - 2018

Senior Data Scientist · Sea Group (Garena)

Singapore · 2024 - Present

• Led the development and deployment of a real-time fraud detection system using PyTorch, reducing fraudulent transactions by 22% and saving over SGD 1.5 million annually.
• Optimized user segmentation and targeting models, increasing user engagement metrics by an average of 18% across multiple game titles.
• Implemented A/B testing frameworks for new game features, providing actionable insights that led to a 10% uplift in key monetization metrics.
• Mentored a team of junior data scientists, improving overall team productivity by 25% through best practices and code review processes.
• Developed and maintained scalable data pipelines using Spark and AWS S3, processing over 5TB of daily event data with 99.9% uptime.

Data Scientist · Singtel

Singapore · 2021 - 2024

• Designed and implemented predictive models for customer churn, identifying at-risk customers with 85% accuracy and contributing to a 12% reduction in churn rate.
• Developed an automated reporting system using Python and Tableau, decreasing manual data preparation time by 30 hours per month.
• Analyzed network performance data to identify bottlenecks and suggest optimizations, resulting in a 5% improvement in network efficiency and customer satisfaction scores.
• Collaborated with engineering teams to integrate machine learning models into production systems, ensuring seamless data flow and model performance monitoring.

Bachelor of Computing (Computer Science), Honors · National University of Singapore (NUS)

Singapore · 2017 - 2021

• Graduated with First Class Honors, GPA: 4.6/5.0
• Relevant Coursework: Machine Learning, Artificial Intelligence, Database Systems, Data Structures & Algorithms, Statistical Methods for Data Science, Software Engineering
• Thesis: Developed a novel deep learning model for anomaly detection in time-series sensor data, achieving a 15% improvement in F1-score compared to traditional methods