Shotaro Miyazaki
Risk Specialist
Berlin
Summary
Proficient Risk Specialist transitioning into Data Science and Cybersecurity with a strong foundation in fraud detection, risk assessment, and advanced data analysis. Experienced in leveraging machine learning models, Python, and SQL to derive actionable insights and prevent operational risks. A self-motivated learner with IBM Data Science Specialization and a proven ability to create impactful data-driven solutions. Passionate about threat intelligence and developing AI-powered models to enhance security and decision-making processes.
Overview
3
3
years of professional experience
4
4
years of post-secondary education
6
6
Certifications
3
3
Languages
Work History
Risk Specialist
AWS, Amazon Web Services
Berlin
01.2023 - Current
- Conducted in-depth data analysis and forensic audits on accounts to detect fraud, abuse, and security breaches.
- Collaborated with data scientists to refine machine learning models for fraud detection and risk prevention.
- Audited AWS services (e.g., EC2, IAM, Fargate) to identify vulnerabilities and ensure compliance with industry standards.
- Developed ad-hoc SQL-based dashboards and reports to visualize risk trends and improve decision-making processes.
- Optimized processes to minimize customer friction and reduce operational expenditure.
Senior Fraud Investigator
AWS, Amazon Web Services
Berlin
09.2021 - 01.2023
- Analyzed large-scale datasets to uncover fraud patterns and anomalies.
- Partnered with engineering teams to deploy scalable fraud mitigation strategies.
- Investigated root causes of incidents and proposed enhancements to internal systems.
- Reduced investigation time by 20% while maintaining high audit quality through optimized workflows and enhanced analytical techniques.
Identified over 5,000 Modus Operandi of account takeover actors, mitigating further damage and preventing multi-million euro operational expenses (OPEX) for AWS.
Education
Bachelor of Arts - Policy Management
Keio University
Tokyo 04.2013 - 03.2017
Skills
Programming: Python (NumPy, Pandas, Scikit-learn, TensorFlow), SQL, R
Data Visualization: Tableau, Matplotlib, Seaborn, Quicksight
Tools and Platforms: AWS (Athena, S3, EC2, Lambda), Jupyter Notebooks, GitHub, Kaggle
Machine Learning: Supervised and unsupervised learning, fraud detection models, NLP
Cybersecurity: Fraud detection, threat intelligence, incident management
Certification
Data Analysis with Python
Timeline
Data Analysis with Python
11-2024
Data Science Methodology
11-2024
Data Visualisation with Python
11-2024
Databse and SQL for Data Science with Python
11-2024
Machine Learning with Python
11-2024
IBM Data Science Spezialisation
11-2024
Risk Specialist
AWS, Amazon Web Services
01.2023 - Current
Senior Fraud Investigator
AWS, Amazon Web Services
09.2021 - 01.2023
Bachelor of Arts - Policy Management
Keio University
04.2013 - 03.2017
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