Data analysis
Cleaning and exploring datasets to find patterns and answer specific questions.
PORTFOLIO / 2026
Making sense
of data.
Hi, I’m Brian Filbert — a Computer Science student specializing in Database Technology at BINUS University. I’m interested in turning data into insights people can understand and use.
Computer Science · Database Technology · BINUS University
01 / ABOUT
The person behind
the queries.
I’m Brian, a Computer Science student at BINUS University specializing in Database Technology. I’m interested in how messy information can become clear, useful answers through careful analysis.
I enjoy working with others to break down complex problems, share ideas, and turn findings into something clear and useful. Through team projects and research, I’m continuing to build both my technical skills and the way I communicate my work.
A FEW MILESTONES
2026 / Research
ICORIS 2026
First author of a paper accepted and presented at the conference.
See research2023 / National Competition
National Finalist · NSDC
Represented my school at the National Schools Debating Championship, building teamwork and communication skills along the way.
View certificate02 / SKILLS
WHAT I WORK WITHFrom raw data
to clear insights.
I’m building my skills across analysis, visualization, and data engineering while also exploring web development.
Data visualization
Building charts and dashboards that make findings easier to understand.
Data engineering
Preparing and transforming data so it can be used reliably for analysis.
TOOLS & TECHNOLOGIES
PythonSQLR / RStudioTableauPower BIPentaho Data IntegrationHTML & CSSJavaScriptJavaLaravelFigma
03 / SELECTED WORK
PROJECT ARCHIVESelected work.
Projects where I explore how to build useful and engaging digital experiences.
Research / ICORIS 2026
Measuring Feature Contribution Inequality in Fraud Detection
This study compares Random Forest and XGBoost on an imbalanced credit card fraud dataset, using Gini and entropy to measure how feature importance is distributed.
Key finding: SMOTE improved recall and ROC-AUC for both models, but increased feature contribution inequality in Random Forest while reducing it in XGBoost.
Role: First author and submitting author. Status: Paper #491 accepted and presented at ICORIS 2026; awaiting proceedings publication.
Random ForestXGBoostSMOTEGiniEntropy
View acceptance email 
Click a chart to view it in full size.
Data Analysis / Team Project
NYC Yellow Taxi Analytics & Fare Prediction
Analyzed over 47 million NYC Yellow Taxi trip records using Apache Spark to explore hourly demand, traffic conditions, and revenue patterns. The project also used Gradient Boosted Trees to predict taxi fares from trip data.
My contribution: Helped preprocess the trip data and identify insights from the analysis.
PySparkSpark SQLMatplotlibMachine Learning
Click an image to view it in full size.
Data Analysis / Python & Team Tableau Dashboard
Video Game Sales Analysis & Dashboard
Cleaned and explored video game sales data using Python to examine missing values, outliers, and sales patterns across genres, platforms, and regions. A team Tableau dashboard presents additional comparisons, while the Python analysis highlights how genre preferences differ between global and Japanese sales.
My contribution: Led the exploratory data analysis and created the visualizations, including the Tableau dashboard. The written report was a team effort.
PythonPandasSeabornTableauEDA
Data Engineering / Team Project
Heart Disease Data Pipeline
Built an ETL pipeline in Pentaho Data Integration to clean, transform, and organize BRFSS 2022 heart disease data. The output was structured into one fact table and five dimension tables for further analysis.
PentahoETLData CleaningStar Schema
Web Development / E-commerce Prototype
NoiseCore
A responsive e-commerce website prototype for a fictional audio technology brand. Designed in Figma and built with HTML, CSS, and JavaScript, it features product showcases, promotional deals, navigation, and interactive elements across desktop and mobile layouts.
My contribution: Independently designed the interface in Figma and developed the responsive website.
FigmaHTMLCSSJavaScriptResponsive Design
View live website Student Collaboration / Team Project · In Progress
Xara
Xara is a student collaboration forum concept aligned with SDG 4: Quality Education. It aims to help students ask questions, share answers, and find teammates for academic projects. Planned features include topic-based posts, comments, voting, search, and project collaboration.
Status: Planning and defining features; implementation has not started.
View GitHub repository04 / CONTACT
THE NEXT CONVERSATIONContact me.
I’m open to conversations about data, research, projects, and opportunities to learn and collaborate.