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Jakarta Metropolitan Area

Remote

Remote

- Achieved the position as one of the chosen 3000 participants to join a career readiness program from a total of ~67,000 applicants, with a focused track in Machine Learning learning and Soft skills development. This remarkable journey culminated in a gratifying success, securing a spot in the top 10% with the highest scores among all participants.- Successfully completed several internationally recognized certifications from Google, delving into the realms of Python, SQL, JavaScript, and Machine Learning using Tensorflow (a total of 5 certifications) with the prestigious distinction of being the fastest and attaining perfect scores. This outstanding performance was validated by the additional points awarded by Bangkit.- Collaborated with 5 team members to develop an AI-based application project centered around cutting-edge Speech Processing technology using Tensorflow library. This triumphant collaboration led our project to secure a position among the top 20 best Capstone projects outshining 787 other teams.

Remote

The BDT program is an initiation from the Ministry of Tourism and Creative Economy that aims to develop and increase the capacity of creative economy actors, especially application developers and data enthusiasts. In this program, the government collaborates with Google by facilitating selected awardees with the knowledge that focuses on development related to Android, Machine Learning, IT Support, and Data Analysis. The activities include: Self-paced Learning, Live Sessions, Hands-on Lab, Discussion Forums, Quizzes or Exam, Google Certificate

Remote

- Collaborated in a cross-functional IT team as a Recommender System model designer using Machine Learning techniques for the Smart Canteen application, achieving an impressive RMSE score of 0.43.- Implemented SQL to process the database and utilized queries to extract insights from a substantial food menu dataset of approximately 500 MB.- Led a team of 5 Data Scientist Interns as representatives to regularly communicate and present the progress of the Machine Learning model development to non-technical clients over a period of 6 months.

Jakarta Metropolitan Area

- Collaborated with IT interns to build a model for sentiment analysis of Toyota car products using supervised learning classification and achieved an accuracy score of 90%.- Successfully handled the data collection and preprocessing process to ensure the quality and usability of the dataset, gathering around 50,000 tweets through the Twitter API using Python.- Presented the results of the sentiment analysis project to the Division Head and provided 5 recommendations on its potential to enhance customer satisfaction understanding and future product improvements.

Bachelor Of Information Systems, 3.90/4.00

Scholarships: Awardee of Bangkit Academy Program 2023, Awardee of Baparekraf Digital Talent Program 2022 Relevant Coursework: Application.

Job Connector, Data Science And Machine Learning, 91.4/100

Relevant Coursework: Python for Programming, Python for Data Analysis, Python for Machine Learning, Logic Test, Final Project