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PT. Algoritma Data Indonesia.
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Email: community@algorit.ma
Online shopping has been increasingly popular among Indonesian citizens, especially since the beginning of the pandemic. Data shows that 88.1% of internet users in Indonesia use e-commerce and marketplace services to buy certain items. This percentage is the highest globally, based on the survey result by We Are Social in April 2021.
Every e-commerce and marketplace application has content that involves automated data/systems/management. This industry involves various transactions such as fund transfers, online marketing, buying, selling, etc. One of the leading marketplace applications is Tokopedia. With 100+ million users each month and more than 11 million sellers, Tokopedia continues to thrive and achieve economic equality digitally. In this session, The Role of Data Scientists at Tokopedia, our panelists will discuss how the data generated by users, applications, and every transaction can be helpful to inform developers in building a better in-app experience at Tokopedia.
Dyah Nurlita, Data Science Instructor, Algoritma Data Science School
Lita is a data science instructor with exposure to national and international projects. She has been involved in numerous mentoring, data science projects, and consultative data science training for our clients, to name a few: Taspen, PLN, Pertamina, and many more.
She has experience as a data scientist with a complete skillset from data gathering to application deployment. She graduated from IPB University, majoring in Computer Science.
Grady Matthias Oktavian, Data Scientist, Tokopedia
Data Scientist at Tokopedia with educational background in mathematics and information technology. Currently working in product cataloging project, an NLP-powered product clustering initiative to build catalogs of similar items in the marketplace. Also working in demand forecasting, a time-series project to forecast future demands and leverage the information for various use cases such as restock recommendation.