This project aims to streamline risk assessment processes, improve data visualization for risk analytics, and managing to mitigate various financial and operational risks effectively.

I joined the project without any interview. Instead, due to urgent situation, I was immediately entrusted with numerous tasks, reflecting the team's confidence in my skills and sense of responsibility.

Challenges:

1. Urgency: The project faced critical issues requiring immediate attention and action to meet tight deadlines and address pressing concerns.
2. High Responsibility: Being tasked with urgent assignments placed significant responsibility on me to deliver results promptly and effectively, despite the time constraints.
3. Complex Risk Management: Managing diverse financial and operational risks demanded a deep understanding of risk management principles and the ability to devise effective mitigation strategies.

The project introduced a financing feature that allows sellers to take loans from specific financial institutions. It requires coordination with multiple vendors, each with their own integration requirements and workflows, while ensuring privacy and secure handling of sensitive data.

I was heavily involved in developing this feature, collaborating directly with vendors including Pegadaian, PNM, BRI, Mandiri, BTN, Koinworks, and Investree. I contributed to defining requirements and implementing functionality to ensure smooth integration with each vendor’s system.

Challenges:

1. Vendor-Specific Integration: Each vendor had unique workflows, requiring tailored APIs and integration processes.
2. Access Complexity: Some vendors required VPNs, adding logistical and technical challenges for secure system access.
3. Data Sensitivity: Handling sensitive seller data demanded strong security measures to maintain privacy and prevent breaches.

Factory management project for Astra Otoparts focused on precise real-time calculations, displaying live data when available or pre-generated results otherwise. The custom timeline chart, built from scratch, adapts dynamically to team shift times and allows users to input or scan data to generate activity reports.

I implemented the timeline chart feature, collaborating with stakeholders to translate requirements into an intuitive interface and architecting the real-time calculation engine for accurate, efficient timeline data and reporting.

Challenges:

1. Real-Time Calculation Accuracy: Developing algorithms to update timeline data precisely and reliably.
2. Custom Timeline Chart: Building a dynamic chart from scratch to handle varying shift times and real-time inputs.
3. User Input Integration: Seamlessly incorporating data input and scanning while ensuring stability and integrity.

A collection of optimization and compatibility experiments.