Hardani Maulana

Implementation of machine actionable Data Management Plan tools for FAIR Data Austria project using Java Quarkus and Angular

I helped the company in a short term project to prepare their transformation to be a data-driven company. • Improved data availability from 47% to 81% by implemented a monitoring and measurement system with MySQL and NoSQL (Elasticsearch). • Implemented an initial pipeline for data analytics with Python. • Published a new data insight from an e-commerce behavior. • Supervised the crawler modernization project which used Kafka. • Produced the company data road map and architecture document.

In join with Master Thesis project, a collaboration between Cosinuss GmbH and Fraunhofer Institute. • Implemented a machine learning algorithm in medical diagnosis for epileptic patient. A join project between Cosinuss GmbH and Fraunhofer Institut. • Improved accuracy with F1 score metric from 0.15 to 0.36. • Using the advantage of following algorithms: SVM, Random Forest, and Convolutional Neural Network with Python, scikit-learn, and Keras (for deep learning framework).

• Developed the prototype of data collection tools with C#. • Managed overall operations and resources. • Directed technology, data acquisition, and analysis method with MySQL / PostgreSQL.

• Created the first company’s machine learning approach for sports exercise recognition with Python and scikit-learn using K-Means algorithm. • Implemented a smart mirror back end system with Unity C#.

• Led the transport network design team for Telkomsel as the biggest telecom operator in Indonesia. • Delivered network and IP design for clients and supported the implementation.

• Master thesis topic: Applied Machine Learning for Epileptic Seizure Classification • Area of specialization on Computer Vision and Machine Learning

• Bachelor thesis in Artificial Intelligence subject with topic: Biped Robot Implementation with Lego NXT • Student Assistant in Algorithm and Computation Laboratory