SetiawanDATA ANALYST
Portfolio / 2026.
FEBRILIANFEDRIKSDATA
ANALYST
I'm Febrilian Fedriks Setiawan, a computing graduate specializing in data analysis, business intelligence, machine learning, and practical digital systems.
SetiawanDATA ANALYST
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Selected Projects
SELECTED WORK,
Data and AI work, operational systems, brand-to-web projects, and public-interest communication shaped around clear evidence and practical constraints.
Showing 7 of 12 projects
Data, systems, and decisions.
About
Turning raw information into clear decisions.
I work across data analysis, data preparation, machine-learning evaluation, and practical system workflows.
My work combines system-requirements identification, data processing, documentation, reporting, and project coordination to bridge technical and business needs.
Experience
Building across product, brand, and technology.
JAN 2023—JUN 2024
IT Support Intern · PT Tarawasi Arta Megah
Maintained the company-profile website, supported daily IT operations, and helped improve internal digital workflows and documentation.
- Website maintenance
- IT support
- Process improvement
- Documentation
DEC 2025—PRESENT
Founder & Product Builder · AseTraX
Framing a phone-first QR asset-tracking workflow from product logic and field scenarios through early architecture and pilot preparation.
- Product logic
- PWA
- QR workflows
- System architecture
AUG 2023—PRESENT
Founder & Creative Director · Fedrix Studio
Connecting brand strategy, copy hierarchy, visual direction, UX, and web planning through a Clarity to Launch system for growing businesses.
- Brand strategy
- UX structure
- Web planning
- Creative direction
View earlier teaching experience
Assistant Lecturer · Universitas Surabaya, 2022. Facilitated additional Mathematics sessions and supported academic administration.
Education
Learning by connecting disciplines.
BACHELOR'S DEGREE
Informatics Engineering
Data Science & Artificial Intelligence · Universitas Surabaya · Bachelor of Computing · 2021—2026UNDERGRADUATE THESIS
YOLO-based Kidney Stone Detection
Object detection, size-estimation logic, model evaluation, and web integrationRead the thesis caseGOOGLE CLOUD SKILLS BOOST
Professional Data Engineer
Data-engineering learning path and skills recognitionCapabilities
A data-focused working set.
DATA QUALITY
Reliable records
Data entry, validation, review, consistency checks, and clear documentationANALYSIS
Structured for insight
Collecting, cleaning, preparing, and interpreting data for practical questionsVISUALIZATION
Clear reporting
Turning analytical results into readable reports, charts, and decision-ready summariesPROCESS & UAT
Tested workflows
Requirements analysis, test scenarios, workflow review, and user-acceptance supportPYTHON
Analysis & ML
Data preprocessing, exploratory analysis, experiments, and model evaluationMACHINE LEARNING