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Hana Antonio

Hana Antonio

Clinical Data Researcher

Headington, Oxfordshire, United Kingdom, OX3 9HT
+447930315080
English, Indonesian, German

Background


About

About

DPhil candidate in Clinical Medicine at the University of Oxford, combining clinical training and data science to drive HIV/STI prevention, digital health, and health policy innovation. Medical doctor with Emergency Medicine and healthcare management experience, focused on delivering evidence-based, scalable solutions in the Asia-Pacific.

Work Experience

Work Experience

  • Centre Manager and Lead General PractitionerGWS Medika

    May, 2024 - Jun, 20251 year 1 month

    • Led the establishment and operational management of a flagship multidisciplinary clinic, coordinating clinical workflows, resource planning, and cross-functional teams to deliver integrated primary care services.

    • Enhanced service delivery for urban health needs (STIs, HIV, mental health, NCDs) through evidence-based clinical practice, patient education initiatives, and preventive health programs.

    • Strengthened institutional capacity by developing clinical protocols, fostering team performance, and building strategic partnerships to expand access to community-based healthcare.

  • Lead Emergency Room PhysicianUniversitas Indonesia Hospital

    Sep, 2020 - Jan, 20232 years 3 months

    • Oversaw Emergency Department operations, including physician scheduling, coordination with hospital leadership, and strengthening interdisciplinary teamwork among doctors, nurses, pharmacists, and radiographers.

    • Delivered high-quality emergency care across maternal, medical, paediatrics, and surgical cases, while supervising clinical skills training for medical students and supporting continuous professional development for ER staff.

    • Managed key public health and operational initiatives, including the hospital’s COVID-19 vaccination program, the referral system, and routine medical check-up evaluations.

Projects Experience

Projects Experience

  • Automated Customer Review Analysis

    Sep, 2025 - Sep, 202512 days

    Tools: Python · Pandas · Natural Language Processing (NLP) · NLTK · TensorFlow · FASTopic · PyTorch · Keras · Matplotlib · Streamlit · HuggingFace · Scikit Learn

    • Developed an end-to-end NLP system to classify sentiment and identify key drivers of negative customer experiences for Singapore Airlines using ANN-based text classification and topic modeling.

    • Built an interactive dashboard to aggregate and visualize user feedback trends, enabling service teams to monitor issues and prioritize improvements.

    • Implemented automated clustering of negative reviews to generate actionable recommendations for service enhancement.

  • Drug Reviews Sentiment Analysis

    Aug, 2025 - Aug, 202515 days

    Tools: Python · Pandas · Natural Language Processing (NLP) · NLTK · TensorFlow · NumPy · Keras · Scikit Learn · Streamlit · HuggingFace

    • Built a sentiment analysis model using NLP to classify patient medication reviews into negative, neutral, or positive categories for chronic disease treatments.

    • Processed and analyzed a large drug review dataset to study patient perception, adherence patterns, and medication experience trends.

    • Deployed a user-friendly Streamlit app to visualize sentiment predictions and facilitate real-time review analysis.

  • Coronary Heart Disease (CHD) Prediction Model

    Aug, 2025 - Aug, 202515 days

    Tools: Python · Pandas · Machine Learning · Scikit Learn · NumPy · Matplotlib · Seaborn · SMOTENC · HuggingFace · Streamlit

    • Developed a binary classification ML model to estimate 10-year coronary heart disease risk using Framingham Heart Study variables.

    • Performed data preprocessing, feature engineering, and model optimization (including SMOTENC handling of imbalanced data) to improve predictive accuracy.

    • Built an interactive web application for real-time CHD risk estimation to support preventive cardiology and public health use cases.

Skills

Skills

  • Programming

    Python

    SQL

  • Data Science

    Pandas

    Numpy

    Machine Learning (Scikit-Learn)

    Deep Learning (TensorFlow, Keras, PyTorch)

    NLP (NLTK, FASTopic, LSTM)

    Streamlit

    HuggingFace

  • Data Engineering

    Data pipelines (Apache Airflow, AWS)

  • Data Visualization

    Tableau

    Matplotlib

    Seaborn

Education

Education

  • Clinical Medicine, DPhil, The University of Oxford

    Oct, 2025 - Present

  • Health Policy, Master, The University of Sydney

    Feb, 2023 - Mar, 2024

  • Medicine, MD, Universitas Gadjah Mada

    Aug, 2013 - Jul, 2019

Certificates

Certificates

Awards

Awards

  • Jardine Foundation Postgraduate Scholarship , Jardine Matheson Limited

    Awarded on: Oct 01, 2025

  • University of Sydney Ruth Colagiuri Scholarship , The University of Sydney

    Awarded on: Feb 20, 2023

Volunteer Work

Volunteer Work

  • Medical Volunteer, Sydney Marathon

    Sep, 2023 - Sep, 2023

    • Provided first-aid and acute medical support to injured runners during the marathon event.

    • Collaborated with a multidisciplinary team of medical volunteers to ensure timely triage and care delivery.

    • Supported emergency response operations in a high-volume, high-intensity event setting.

  • Clinical Facilitator and Trainer, Universitas Indonesia Hospital

    Jun, 2021 - Jan, 2023

    • Coordinated Emergency Neurological Life Support (ENLS) and Basic Life Support (BLS) training programs for medical and non-medical personnel.

    • Delivered clinical education on emergency care skills to medical students and collaborated with specialists for public health communication initiatives.

    • Supported local health system strengthening by facilitating annual city health meetings with local health officials and primary care teams.

  • Vaccination Doctor at West Java Outreach Vaccination Program, FHI 360 - EpiC Project

    Aug, 2021 - Mar, 2022

    • Coordinated with community health officials to deliver COVID-19 vaccination services across West Java, including remote and resource-limited settings.

    • Screened and assessed patient eligibility for vaccination while ensuring safe and efficient clinical workflows.

    • Led and organized the medical team for door-to-door vaccination deployments, ensuring task completion and community coverage.

Publications

Publications