Muhamad Sandy Saputra

• Conducting independent computational research on Digital Fandom Economy (JKT48 Case Study), focusing on the "Showroom" gifting ecosystem.

• Developed custom Python automation scripts (using Scrappy & Selenium) to collect real-time transaction data and chat logs from streaming APIs.

• Analyzed large datasets using Pandas and NumPy to identify patterns in parasocial interaction and micro-transaction behavior.

• Maintained a perfect 4.00 CGPA while managing end-to-end research milestones from data acquisition to thesis writing.

•.Utilized mixed-method approach combining digital netnography with quantitative data mining.

• Led the technical development of web applications using Agile methodologies, bridging the gap between stakeholders and the dev team.
• Engineered system stability improvements that reduced technical support tickets by 40%, ensuring high availability for critical business tools.
• Implemented data-driven A/B testing frameworks to optimize user interface logic and system performance.
• Managed daily stand-ups and technical roadmaps to ensure on-time delivery of complex software features.

• Refactored legacy codebases to improve maintainability and reduce bug frequency by 60%.
• Optimized front-end architecture (Vue.js), resulting in a 50% improvement in server response time.
• Collaborated with cross-functional teams to translate complex requirements into clean, scalable code.