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PT. Algoritma Data Indonesia.
RDTX Square, 9th Floor. Setiabudi, DKI Jakarta 12930.
WhatsApp: 0816-692-471
Email: community@algorit.ma
Background
Our ability to harness the power of Big Data is transforming our entire world. Unfortunately, until now, Indonesia still lags behind the number of resources for data analysts and data scientists. Based on research by the World Bank and McKinsey, Indonesia needs up to 9 million workers related to big data for the 2015-2030 period. In other words, the average human resource needed is 600,000 per year.
In order to reduce the talent gap and understand the importance of adequate Human Resources to process data, it is necessary to have a strong understanding of the importance of the data itself, as well as use cases in the relevant industry. For example, by applying predictive analytics techniques, stakeholders can optimize work and avoid mistakes that might cost a lot of money.
In this webinar series, Algoritma will give a broader scope of data analytics use cases. Furthermore, our partners will share the secret to creating a successful analytics project in the industry, especially at a giant company like Tokopedia.
SPEAKERS
Yosia Azarya, Data Science Instructor at Algoritma
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.
Amanda Permata Dewi, Data Analyst Associate at Tokopedia
Born and grew up as a thinker, groomed to become a data analyst with statistics as educational background. Always love to analyze simple or complex problems and understanding reasons. A two and half years experienced data analyst who never lacks the drive of wanting more and strategic thinking as a superpower. Currently spend day to day supporting Offline & Brand marketing with uplift modeling, causal inference, and other deep dive analysis to optimize marketing or campaign strategies.
RUNDOWN
- 16.00 – 16.05: Opening by Moderator
- 16.05 – 16.15: Panelist Introduction by Host
- 16.15 – 16.35: Presentation by Yosia Azarya
- 16.35 – 16.55: Presentation by Amanda Permata Dewi
- 16.55 – 17.20: Photo Session and Talk show
- 17.20 – 17.55: Q&A
- 17.55 – 18.00: Algoritma Intro & Closing