About Me


Indah has been dedicated to learning about AI, Machine Learning, and especially Natural Language Processing for 8 years. At first, Indah worked as a System Analyst and became interested in data collection and system flow. Hence, Indah gained multiple skills, starting from communication and negotiation skills to becoming a detail-oriented person on document issues, besides working with bugs as a programmer. After years of being a bridge between several stakeholders, Indah earned a Master's degree in Computer Science from Universitas Indonesia. Indah has experience in handling Natural Language Processing projects, one of which was successfully presented at DSIT in Seoul, Korea in 2019, and several Machine Learning projects in general. Currently, Indah works as a AI/ML mentor and self employed machine learning engineer. Indah is still looking for a company that has the same vision to grow and learn about the speed of the revolutionary AI.

Contacts


📧 [email protected]

🏡 Bekasi, Indonesia

🔗 /id/nurindahpratiwi

👩🏻‍💻 github.com/nurindahpratiwi

✍🏽 medium.com/@nurindahpratiwi

📊 public.tableau/nurindahpratiwi

🖥️ huggingface.co/wiwaaw

Work Experience


2023-Present

Machine Learning Engineer

Self Employed - Project Based

2023-Present

Instructor and Curriculum Designer (Part Time)

Langing Academy

Delivering and building Data Science Curriculum

2022-Present

Machine Learning Mentor (Freelance)

Codepolitan

I am delivering and sharing about my learning journey through a roadmap in Machine Learning and Natural Language Processing area.

Completed to designed and delivered these modules:

2014-2016

Jr. System Analyst (Full Time)

Pustikom, Universitas Negeri Jakarta

Education


Master of Computer Science (M.Kom)

University of Indonesia

2017-2019

(3.49/4.00)

Thesis: Hate speech identification by using the hate codes for Indonesian tweets utilized a machine learning algorithm.

Bachelor of Educational Informatics Engineering (S.Pd)

Universitas Negeri Jakarta

2010-2014

(3.83/4.00)

Final Project: Abstract Document Classification Using Naive Bayes Classifier.

Projects


Research & Publication