Motivated final-year Informatics student with strong analytical skills and hands-on experience in data analysis, system analysis, data modeling, and prototyping. Skilled in translating business requirements into technical specifications and building data-driven solutions using machine learning, IoT systems, and software development. Seeking a Data Science / System Analyst Intern role to contribute to product development and grow professionally.
Public Relation
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Summary
Managed event communication, crafted public announcements, and coordinated with external partners to enhance organizational outreach and engagement.
Highlights
Managed comprehensive event communication strategies, ensuring clarity and consistency across all platforms for organizational initiatives.
Crafted and disseminated impactful public announcements, effectively enhancing organizational visibility and public engagement.
Coordinated successfully with external partners, fostering strong relationships and expanding collaborative opportunities for the organization
Liaison Officer
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Summary
Coordinated communication between various teams and ensured real-time reporting during the Tarcicius Cup 2 event.
Highlights
Streamlined communication channels between 10+ internal teams, improving information flow and coordination efficiency during the event.
Implemented a real-time reporting system, enhancing data accuracy and enabling timely decision-making for event organizers.
Collaboration & teamwork, Adaptability, Clear communication, Attention to detail, Problem -solving.
Requirements gathering, User stories, UML, DFD, ERD, Workflows, Agile & Scrum.
Figma, Draw.io, Notion, Canva.
Data Analysis, EDA, Data Modelling, Machine Learning, Deep Learning, NLP, Feature Engineering.
Python, JavaScript, HTML, CSS, PyTorch, Scikit-learn.
thesis project
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Summary
Developed a deep learning-based café recommendation system by fine-tuning BERT (bert-base-uncased) for contextual embedding and sentiment classification on 38,000 Yelp reviews. Constructed café profile embeddings via mean pooling and implemented content-based ranking using cosine similarity combined with sentiment score (hybrid scoring). Achieved 97% nDCG (Top-5) in recommendation evaluation using Average Similarity Top-K and nDCG.
academic projects
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Summary
Data exploration and analysis for a cyber attack threat detection project. Analyzed attack patterns, severity levels, and temporal characteristics using structured datasets. Designed analytical workflows and visualizations to support threat identification. Delivered a data-driven overview of cyber threat characteristics for further modeling.
academic projects
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Summary
Data analysis and modeling for an athlete injury prediction project. Performed data preprocessing, exploratory data analysis, and feature selection to identify injury risk patterns. Built and evaluated machine learning models to support injury risk assessment. Delivered analytical insights and documented modeling results for decision support.
academic projects
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Summary
Led the architecture design of a real-time injury monitoring system within a team, integrating ESP32 sensors with a live dashboard. Modeled data flows using DFD Level 1–2, defined communication protocols (HTTP/MQTT), and designed risk logic for alert thresholds. Documented system modules covering data collection, processing, and visualization. The IoT architecture is functional in prototype form, with dashboard integration currently in progress.
Native
Conversational
Issued By
AMCC Universitas AMIKOM Yogyakarta