Machine Learning Workshop DSC presentation

1. Start Career as
Machine Learning
Engineer
Julio Anthony Leonard
Machine Learning Engineer at Gojek
Cofounder at Impacteam Consultancy
Indonesia

2. Life so Far
- From Palu, Sulawesi Tengah, a good start
- Applied for ITB, not accepted, got to ITS, yay 🎉
- Sucked at college 1st year, playing all days, at least winning campus championship
- Needed money, learnt Android development and doing freelance
- Joined some community to learn, started building LinkedIn profile and CV, applied to 20
companies weekly
- AIESEC Global Talent Internship in Japan 🇯🇵
- Gojek Bootcamp and joined as Software Dev, Platform Team in Bangalore 💻
- Career reset to Machine Learning Engineer, still struggling though 🧠
- Co-founding consultancy service, ImpacTeam

3. Machine Learning Quick
Overview

4. Brief timeline of Machine Learning
in Industry
- Traditional AI: Retype
- Machine Learning: Supervised(Classification), Unsupervised(Clustering)
- Real Time Machine Learning: Reinforcement

5. Machine Learning Lifecycle

6. Machine Learning Lifecycle
Source
Ask a good questions

7. What is
Machine Learning
Engineer

8. Boundary
But not Limited to
Building Library
Some readings if you want
https://blog.gojekengineering.com/tagged/machine-learning

9. Why is it Hard?
Suka dan Duka Story

10. - Many Many Tools
- New Fields
- Growing Pretty Fast
- Highly Competitive
- Expensive :( Someone solve this
pls. No worries I can help you on
next slide

11. What you can do as a starter?
Build Portfolio: I guarantee you it would need 3 months minimum with consistent effort to
do this, easy to say, Hard to Do.
Remember the expensive part we are talking about? There are freebies now!
- Google Education: A lot of Freebies
- Github Student Pack: Free when you have school emails
- Tensorflow: One of the simplest machine learning library
- Learn Python at Progate: Interactive hands on, Bahasa Indo
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12. Another Skills Needed
5 Softskills
- Asking a good question
- Communication skills, woops hardest
- Never give up until you solve the problem you’re in
- Growth Mindset
- Reading

13. “You don’t have to be great to start, you have to start to be great!” - Zag Ziglar
“The key is dream big and never give up, and believe every fails (as long as you’re not dead) is
meant for learning process” - Juan

14. Good Readings
To give you some sense of bigger Picture
Serious
- Towards Data Science on Medium, Viral Articles
- All Gojek Engineering Blog About ML
- Power point from my friend in Data Science
- Get Connected with Data Scientist, Data Engineering, ML Engineer or whoever
on linkedin, feel free to ask questions but don’t expect an answer.
Joke
- https://datasciencedojo.com/community/jokes/
- https://xkcd.com/

15. Good Dojo
To practice and improve your skills
- Kaggle
- Qwiklabs
- Hackerrank
- Competitions
- Stackoverflow
- Build your own projects and publish
- Use Research Open Data
- Publish to Github

16. Short Flowchart
- Job is just a title, just do what you like and love, and keep growing on that field.

17. Thank You!
Feel free to connect at
LinkedIn, add notes pls
Julio Anthony Leonard
Machine Learning Engineer at Gojek
Cofounder at Impacteam
Indonesia

18. Quick but better to have
lots of QnA
AMA (Ask Me Anything)