Big data-driven process automation in an API-first fintech company : applied use cases from operations | |
| Author | Sabah, Tanzil Al |
| Call Number | AIT ISPR IOT no.25-02 |
| Subject(s) | Financial services industry--Technological innovations Big data |
| Note | An Internship Study submitted in partial fulfillment of the requirements for the degree of Master of Science in Internet of Things (IoT) Systems Engineering |
| Publisher | Asian Institute of Technology |
| Abstract | In this report, I present my internship experience at Swan, a leading embedded banking f intech platform, whereIworkedondesigning, developing, anddeployingmultipleoper ational automation workflowsbuiltontopofSwan’sbigdatamanagementinfrastructure. My work focused on process automation leveraging Swan’s API-first platform, work f loworchestration tools (NextMatter, Make), partner CRM (Zendesk), and advanced AI integrations (OpenAI API models) for KYC onboarding support. Through several de tailed automation use cases–includingAI-supportedKYConboarding, adebtcollection workflow, aregulatory fund seizure communication process, real-time operational dash boards, andbulkoperationsviainternal tools– I demonstrate howcombiningrobustdata modeling with modern automation orchestration platforms can greatly enhance opera tional efficiency, ensure regulatory compliance, and improve customer experience in a highly regulated fintech environment. |
| Year | 2025 |
| Type | Internship Report |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Internet of Things (IoT) Systems Engineering |
| Chairperson(s) | Attaphongse Taparugssanagorn |
| Examination Committee(s) | Chaklam Silpasuwanchai;Chantri Polprasert |
| Scholarship Donor(s) | AIT Scholarship |
| Degree | Internship Report (M. Sc.) - Asian Institute of Technology, 2025 |