Define the problem, context, and data before building a solution.
TO USEFUL OUTPUT.
I’m a fresh graduate in Data Science from Universitas Negeri Surabaya with hands-on experience across analytics, data engineering, business intelligence, and applied machine learning. Through SEAL — Diskominfo Jawa Timur and the Celerates Acceleration Program, I worked with ETL pipelines, PostgreSQL, data validation, dashboard datasets, Tableau, and Power BI — turning fragmented data into structures that can support decisions.
My academic work leans toward applied research and communication. My thesis analyzed more than 126,000 public posts about the Makan Bergizi Gratis program using IndoBERTweet, while an IEEE-indexed usability study strengthened my interest in how information is understood, not only how it is modeled.
I like finding patterns, questioning assumptions, and presenting results in a form people can actually use.
GRADUATE
Focused on analytics, machine learning, business intelligence, and information design.
INDONESIA
Universitas Negeri Surabaya · Data Science background.
OPPORTUNITIES
Data Science · Data Analyst · Machine Learning · Business Intelligence.
I believe good data should move from information to understanding — and finally to action.
Find patterns, relationships, and signals hidden within the data.
Turn insights into models, visualizations, and practical solutions.
Make complex findings clear, useful, and easy to act on.

DATA
ANALYTICS
Finding patterns, behavior, and meaning in data — then turning them into evidence for decisions.

MACHINE
LEARNING
Building and evaluating models that transform patterns into reliable predictions and classifications.

BUSINESS
INTELLIGENCE
Connecting metrics, context, and dashboards so performance can be understood and acted on.

INFORMATION
DESIGN
Making complex information easier to scan, interpret, and communicate through deliberate visual structure.

& BICELERATES / COMPLETION

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