Data Scientist with 2 years of experience in the telecommunication industry, currently pursuing a Master’s in Data Science at University of Technology Sydney. Passionate about data science, particularly data mining, machine learning, and deep learning. Proficient in modern technologies including Python, MySQL, Tableau, and Airflow. Seeking opportunities to further develop skills, especially in deep learning and generative AI.
Postgraduate Academic Excellence International Scholarship Awardee
Developed and received an award for a sign language recognition app using Streamlit for the interface, OpenCV and MediaPipe for hand tracking, and a Random Forest algorithm.
Placed in Tribe Consumer Internal CED and MyIndihomeX
Develop projects to identify high-demand areas for internet fixed broadband, analyze customer profiles, recommend sales areas based on internet demand and visualize it using Tableau, manage workflows with Airflow, and create an FAQ chatbot using Langchain.
Placed in Tribe Consumer Internal CED
Develop a Churn Prediction Project to recommend which customers are likely to churn in the future
Researching on COVID-19 Detection Using Inception Resnet-V2 Model and participate at ICAIBDA 2021 (International Conference on Artificial Intelligence and Big Data Analysis 2021)
Teach programming languages, assess math students' performance and make a website for math student learning activities.
PPA Reguler Scholarship Awardee
Conducted research on a Face Recognition System using the Fisherface Method and Support Vector Machine (SVM) and submitted it to the ICAIBDA 2021 (International Conference on Artificial Intelligence and Big Data Analysis 2021).
Developed an end-to-end system for isolated sign language recognition, including data preprocessing, model training with deep learning, and real-time prediction deployment. Integrated a web interface for live sign recognition, enabling users to interact seamlessly with the model for accessibility and communication.
Developing interactive JavaScript Interlinkages Visualization for the UNDP to illustrate global development synergies and trade-offs, using custom traffic light color coding for SDG targets by country, and filling data gaps on the European Commission's KnowSDGs Platform.
Developed a Face Recognition System using the Fisherface method and Support Vector Machine (SVM) in Python. Conducted extensive research as part of a thesis project and successfully submitted findings to ICAIBDA 2021 (International Conference on Artificial Intelligence and Big Data Analysis). The system enhances accuracy and performance in facial recognition tasks.
Conducted research at AIDA Research Center, Padjadjaran University, on COVID-19 detection using advanced AI techniques. Prepared and submitted a research paper to ICAIBDA 2021 (International Conference on Artificial Intelligence and Big Data Analysis), contributing to the development of efficient diagnostic systems for pandemic management.