In this program i'm practice : • in machine learning, data processing, and model development using TensorFlow and Keras. • Strong understanding of various machine learning techniques including supervised, unsupervised learning, SVM, k-means clustering, and neural networks. • in developing and applying machine learning models in various contexts including image classification, natural language processing, and time series prediction. • in developing and operationalizing machine learning systems in industry, including the use of TensorFlow Extended (TFX) and clean code principles in Python, as well as the use of cloud computing in Cloudeka.

in the organization I am responsible for: 1. Providing ideas and ideas in carrying out the field work program given by the General Chairperson. 2. Cooperate with members of the field. 3. Maintain effective communication within the field.

Java developer

• Automate administrative tasks with Python that can speed up simple repetitive tasks. • Create data analysis using Python, R, and Tableau that generates useful insights for businesses. • Create Machine Learning models using TensorFlow that can improve modeling accuracy with proper optimization. • Created a collaborative travel recommendation application with 80% progress. • Participated in soft skills and English training and got an increase from before the training by 40%.

in the organization I am responsible for: 1. Leading the running of the field work program given by the General Chairperson. 2. Collaborating with field members. 3. Maintaining effective communication within the field.

• Increase website traffic of Kelurahan and Puskesmas in Surakarta City by 10%. • Update website content with accurate and up-to-date information. • Improve website security by implementing the latest security protocols. • Develop a new website for the Surakarta City Communication, Informatics, Statistics and Signage Office.

• Create data analysis using MySQL and Python to process and manage data that produces useful insights for business. • Modeled basic supervised and unsupervised learning machine learning. • Completed a Capstone Project in the form of analyzing the client's job application platform and obtaining satisfactory results. • Improve collaboration, communication, and problem-solving skills from working together on the capstone project.