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Background

As more sectors adopt technology, digital expertise in data science and artificial intelligence is in high demand. Today, many data-driven companies need more data talents. According to Linkedin, hiring in the data science industry has increased by 46% since 2019, making it possible to reach 11.5 million jobs in this sector by 2026.

With a mission to give better data literacy across Indonesia, Algoritma Data Science School collaborates with GoTo. As the largest digital ecosystem in Indonesia, the company thrives to grow the digital economy even more. According to Lembaga Demografi, School of Economics and Business, Universitas Indonesia (LD FEB UI), the yearly economic impact of the Gojek and GoTo ecosystem (excluding Tokopedia) is projected to be 1.6 percent of Indonesia’s GDP.

In this webinar series, our speakers will discuss how to start a Data Science journey also what it takes to become a successful data scientist in fast-paced tech industries like Gojek.

SPEAKERS

Dwi Gustin Nurdialit, Data Science Instructor, Algoritma Data Science School

A Data Science Instructor at Algoritma Data Science School, experience building data-intensive applications, and tackling complex architecture and scalability issues across multiple industries. Proficient in predictive modeling, data processing, data mining algorithms, and scripting languages, including Python and R. Capable of creating, developing, and deploying various adaptive services to translate business and functional qualifications into tangible deliverables. She has more than 200 hours of teaching experience and has been involved in numerous consultative data science training and course production for our clients, to name a few:

  • Badan Tenaga Atom Nasional (BATAN)
  • Direktorat Jenderal Pajak (DJP)
  • Perusahaan Listrik Negara (PLN)
  • Telkom Indonesia
  • Pertamina Hulu Indonesia

Hendra Hadhil Choiri, Data Scientist at Gojek

Hendra is currently a data scientist in the Merchant Platform team in Gojek, handling the automation of merchant quality assessment and merchant fraud detection. With 7+ years of experience in the data world, he is passionate in the deep learning and computer vision field, and he also loves to share his experiences as a Data Scientist.

RUNDOWN

  • 16.00 – 16.10: Opening and Panelist Introduction by MC
  • 16.10 – 16.25: Keynote Session by Dwi Gustin Nurdialit
  • 16.25 – 16.40: Keynote session by Hendra Hadhil Choiri
  • 16.40 – 16.50: Photo Session & Ice Breaking
  • 16.50 – 17.50: Q&A
  • 17.50 – 18.00: Closing