Overview

As part of the IBM SkillsBuild for AI & Cybersecurity independent study via Skilvul x IBM, I completed a multi-track curriculum focusing on production innovation, Python coding, data science, AI, and cybersecurity over a 5‑month scholarship program. One of the most impactful outcomes was our capstone project, Credit Flash, a web-based AI solution for fraud detection tailored for digital banking.

Credit Flash leverages OCR to extract customer data from uploaded documents, then applies a loan-prediction algorithm to assess credit risk. The system simulates financing terms (loan amount, interest rate, installments) in real time, offering both speed and convenience for users compared to traditional banking processes.

Findings

Integrated AI & Security Learning
Throughout the program, I bridged the technical depth of ML model development with cybersecurity best practices, empowering Credit Flash with both predictive accuracy and data protection, a core objective of the SkillsBuild initiative.

1. OCR-Enabled Data Pipeline
   Integrating optical character recognition allowed us to convert unstructured documents into analyzable loan data, an essential skill in building real-world banking applications where data ingestion is often the bottleneck.

2. Risk-Based Loan Algorithm
   The predictive model uses client data to estimate creditworthiness, demonstrating how AI can automate key decision-making steps in finance while improving user experience and reducing fraud risk.

3. End-to-End System Design
   Credit Flash involved full-stack design, including frontend UI/UX, backend ML deployment, and system integration, showcasing my ability to architect secure, user-friendly financial tech solutions from prototype to demo stage.

4. Collaborative Development Environment
   Working with teammates Nariswari N.S., Hafiyan Sayidan, Ahmad Najib, and Laeli Hanna Adilah, and guided by mentors Erickson Hardiansyah, Bekti Andhana, and Joshua P. Lasniroha, I honed teamwork, iterative development, and stakeholder communication.

5. Professional Skills & Mentorship
   Through expert-led webinar sessions and peer collaboration, I expanded not only my technical toolkit, but also practiced presenting, documenting, and refining a product based on feedback and demo pitches.

Completing Credit Flash through this SkillsBuild program validated my ability to apply AI and cybersecurity knowledge in a financial context, designing an OCR-driven loan prediction system that offers impactful benefits to users and banks alike. The experience reaffirms my readiness to contribute to AI-powered fintech innovation.