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Background

More tech startups lead to more applications both on the web and mobile. It also resulted in more users and more data generated by them. In this session, The Role of Data Scientists in App Development, our speakers will discuss how the data generated by users and applications can be helpful to inform developers in building a better in-app experience.

SPEAKERS

Lili Ayu Wulandhari, Data Scientist Lead I at Tiket.com

Starting her career as a Lecturer at Bina Nusantara University (BINUS), Lili begins her data science journey in several tech startups. Today, Lili is the Data Scientist Lead I at Tiket.com and helps the company with its digitalization effort in the fastest growing Online Travel Agent (OTA) industry.

Experienced in machine learning for research scale and real implementation. Involving in data acquisition, visualization, analysis and modelling to accelerate business strategy using qualified knowledge of data science and machine learning. A creative, fast learner, teamworker and adaptive to change based on business requirement.

Yosia Azarya, Instructor at Algoritma Data Science School

Yosia is a data science instructor with exposure to national and international projects. He has been involved in numerous mentoring, data science projects, and consultative data science training for our clients, to name a few: DBS Singapore, BATAN, TASPEN, etc.

He has experience as a data scientist with a complete skillset from data gathering to application deployment. He graduated from Bandung Institute of Technology, majoring in Materials Science and Engineering. With a background as an engineer, he has strong analytical and problem-solving skills.

RUNDOWN

  • 16.00 – 16.10: Opening and Panelist Introduction by MC
  • 16.10 – 16.25: Keynote Session by Lili Ayu Wulandhari
  • 16.25 – 16.40: Keynote session by Yosia Azarya
  • 16.40 – 17.25: Panel Discussion
  • 17.25 – 17.45: Q&A
  • 17.45 – 18.00: Closing & photo session