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
Sala Jalaludin is a Statistics student at Sultan Ageng Tirtayasa University with a GPA of 3.74. He has independently worked on several data science projects, from credit card fraud detection to customer churn analysis and RFM based customer segmentation, using Python, R, and SQL across the full data workflow. Outside academics, Sala is active at HIMASTA UNTIRTA and previously led a scientific extracurricular club in high school, experience that sharpened his analytical thinking and ability to communicate insights clearly. His career goal is to become a Data Analyst in a data driven work environment.
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 →