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 executive Tableau dashboard unifying revenue, pipeline, and quota attainment across regions — with drill-downs that let leaders self-serve answers instead of waiting on reports.
A geospatial Tableau view mapping delivery density against on-time rates, surfacing three under-served zones that drove a route-planning overhaul.
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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