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Machine Learning Applications in E-Commerce: Bukalapak Edition

  • Schedule

    Wednesday, September 27, 2023

    18.30 – 21.00 WIB

  • Venue

    Bukalapak HQ
    Metropolitan, Jl. R.A. Kartini No.10, West Cilandak, South Jakarta City, 12430

OVERVIEW

This event is a unique opportunity for all data enthusiasts to delve into the world of machine learning and its transformative impact on the realm of E-commerce. With Bukalapak, one of the leading E-commerce platforms, as the focal point, this event aims to provide attendees with a comprehensive understanding of how machine learning drives innovation, enhances user experiences, and shapes the future of online retail.

Keynote Session
Our speaker will unveil the power of machine learning in revolutionizing e-commerce and offer actionable insights for you to apply in your own projects, businesses, or careers.

Q&A Session
Attendees will have the chance to interact with our panel of industry experts during the Q&A session. This interactive session will provide valuable insights and an opportunity to learn from the leaders in the field by asking questions and getting expert answers on the topic.

OUR SPEAKERS

Rany Dwi Cahyaningtyas

Data Science Instructor at Algoritma Data Science School

Graduated from Statistics Universitas Indonesia (UI). Currently worked as Data Science Instructor for teaching several subjects such as Data Visualization and Machine Learning specialization. Rany passionately diving into data science, data analytics, and business analytics field with experiences in Training Camp, Customer Relationship Management (CRM), data preparation, and visualization, supported with data-related tools proven by having related professional certificates including R, SQL, Tableau, advanced Excel, Power BI, Python, etc.

Vanya Vabrina Valindria

Sr. AI Research Engineer at Bukalapak

As a Senior AI Research Engineer, she applies her expertise in generative AI to create innovative and impactful products for e-commerce platforms in Indonesia. With a PhD in machine learning for computer vision from Imperial College London and a Post-Doc from University College London, she boasts a strong background in developing and deploying cutting-edge state-of-the-art algorithms for various AI domains and applications. She is passionate about advancing the creative field of Generative AI and its applications for social good and human well-being.

RUNDOWN

ScheduleContent
18.30 – 18.35Opening
18.35 – 19.05Keynote Session I – Algoritma Data Science School
19.05 – 19.35Keynote Session II – Bukalapak
19.35 – 19.55Q&A Session
19.55 – 20.10Games
20.10 – 20.15Photo Session + Closing
20.15 – 21.00Networking Session

In Collaboration With