01
Define
- Activity
- Understand the decision, audience, and constraints before touching the data.
- Tools
- Brief, questions, success metric
- Output
- A measurable problem statement
About
Statistics Student and Aspiring Data Scientist
I am a Statistics student at Universitas Sultan Ageng Tirtayasa (3.74 GPA) with hands-on experience in end-to-end data science using Python, R, and SQL. Having built machine learning projects in fraud detection and customer analytics, combined with leadership experience in HIMASTA UNTIRTA, I aim to drive data-driven impact as a Data Scientist.
Work process
From question to decision
02
Inspect
- Activity
- Audit the source, quality, completeness, and risks of the data.
- Tools
- SQL, Python, spreadsheets
- Output
- A validated dataset and assumptions
03
Analyze
- Activity
- Choose the simplest method that can answer the question.
- Tools
- Python, R, statistics
- Output
- Traceable findings
04
Communicate
- Activity
- Shape insights, visuals, limitations, and recommendations for the audience.
- Tools
- Visualization, dashboards, reports
- Output
- A decision and next steps
01
Define
- Activity
- Understand the decision, audience, and constraints before touching the data.
- Tools
- Brief, questions, success metric
- Output
- A measurable problem statement
Education
Statistics · Sultan Ageng Tirtayasa University
Studying since 2024 with a focus on descriptive and inferential statistics, regression, modelling, Python, and R.
View experience and skills →