Data Scientist & Visualization Specialist
I'm a data scientist who lives at the intersection of rigorous analysis and clear storytelling. I build Tableau dashboards and analytical models that turn messy, real-world data into decisions people actually act on.
Tableau dashboards and data-science projects where the right view of the data changed what people did next.
An interactive Tableau dashboard analyzing a decade of LendingClub loans — approval rates, funded amounts, and interest trends — with drill-downs into portfolio risk (NPL & aging), loan grades, FICO scores, and borrower demographics.
A supervised classification study predicting household poverty status from socioeconomic survey data, comparing Random Forest against Support Vector Machine models.
Sentiment analysis of Indonesian COVID-19 tweets in R — mining public conversation during the early 2020 outbreak and visualizing the dominant themes as word clouds.
An Android app that diagnoses infant skin diseases from a photo using image recognition — built to widen access to early healthcare screening when visiting a hospital isn't easy.
My work usually starts with a question someone in the business can't answer with a spreadsheet — and ends with an interactive dashboard or model that makes the answer obvious.
I care about the unglamorous parts: clean data pipelines, honest statistics, and design that respects the reader's attention. A chart should remove doubt, not add it.
Competences
Essays on visualization, statistics, and the craft of making data legible.
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