Open to opportunities
Sala Jalaludin — Data Enthusiast and Statistics student. I turn raw data into insights people can actually act on.
Featured proof
820KPeak monthly vehicle volume
Open case study →Proof of work
Each project explains the problem, method, findings, and limitations—not just a list of technologies.
A time series analysis of monthly vehicle crossings on the Merak–Bakauheni ferry route from 2023 to 2024. Using R, the project examines short-term growth and recurring seasonal patterns, with the highest monthly volume reaching 820 thousand vehicles in April 2024.
820KPeak monthly vehicle volume
A note-taking and flashcard app featuring spaced repetition, quizzes, battle mode, a study calendar, and a deck marketplace to keep learning structured.
189Total Cards Saved
A Python package for fast, structured exploratory data analysis on pandas DataFrames. One function call produces a data overview, column profiling, missing value detection, duplicates, outliers, correlations, and data quality warnings. Built to remove repetitive boilerplate from the EDA process.
1 callfor an EDA profile
Capabilities
Proficiency: Advanced
Experience: 3 years
Processing, analyzing, and automating data workflows with the Python ecosystem.
Proficiency: Advanced
Experience: 2 years
Presenting data patterns and findings through clear, relevant visuals.
Proficiency: Advanced
Experience: 2 years
Using statistical methods to test assumptions and produce evidence-based conclusions.
Proficiency: Intermediate
Experience: 2 years
Producing reproducible statistical analyses and visualizations with R.
Proficiency: Novice
Experience: 1 year
Retrieving, cleaning, and summarizing relational data through SQL queries.
Proficiency: Intermediate
Experience: 2 years
Translating analytical results into insights that are easy to understand and act on.
Open source
Explore implementations, code structure, and technical experiments directly from the source.
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