Yogyakarta, December 8, 2024 – Innovative Academy once again held a workshop in collaboration with its partner, Blibli. This event coincided with the Startup Ecosystem Workshop, which was also initiated by Innovative Academy. However, the enthusiasm of the Data Science Workshop participants remained high. Attendees came from various universities and backgrounds, demonstrating the growing public interest in data science. This trend indicates a heightened awareness of the importance of data processing and utilization in decision-making across multiple domains.
The first session was delivered by Varrel Vendira Rizlah, Human Capital Communication Strategist at Blibli. Varrel introduced the Blibli e-commerce platform, its features, and how Blibli has successfully positioned itself as one of Indonesia’s leading e-commerce companies. The session was followed by Fedric Fernando, a Data Analyst at Blibli, who elaborated on the roles, functions, responsibilities, and challenges faced by Blibli’s Data Team. Fedric emphasized that Blibli considers data as a fundamental guide in every corporate decision-making process. “By referring to customer preference data, Blibli can refine its features and enhance user experience. Properly processed data generates valuable knowledge and insights that significantly contribute to business growth,” said Fedric. He also provided an overview of various data types and methodologies commonly implemented by corporate data teams.
The second speaker, Kevin Filmawan, explained how most companies integrate artificial intelligence (AI) and machine learning (ML) technologies to address complex business challenges. Drawing from his experience as a Data Science Associate Manager, Kevin stated, “Large and complex datasets make it impractical to base decisions on simple analyses alone. Identifying patterns within data is crucial, and this is where AI and ML play a vital role in enabling data teams to derive knowledge swiftly and accurately.”
This Data Science Workshop was not solely focused on theoretical discussions. Participants engaged in brainstorming and group activities to deepen their understanding of data implementation in real-world case studies. Each group was given time to present their findings in front of the speakers and fellow participants. Group 2, consisting of Rizky Oktarinanto, Ahmad Syauqi, Nafal Maulana, Akhdan Ferdiansyah, Kaffatufiddin, and Alya Sausan, was selected as the winner for proposing the most reliable and pragmatic data analysis approach, earning a reward voucher from Blibli.
By organizing this workshop on a highly relevant topic, Innovative Academy aims to contribute to public knowledge and provide accessible learning opportunities for all, including its startup incubatees. The initiative seeks to enhance participants’ expertise, interest, and skills in data science. (Editor: Dinda, Documentation: IA Team)