Exploratory Data Analysis in Pandas
The initial investigation of a dataset to understand its characteristics, identify patterns, find missing values, and detect outliers before proceeding to modeling or further analysis.
Portfolio showcases end-to-end data projects covering data aggregation, analysis, mining, data science, and programming, turning raw data into actionable insights and reliable solutions. @ahmadfurqan7.
The initial investigation of a dataset to understand its characteristics, identify patterns, find missing values, and detect outliers before proceeding to modeling or further analysis.
A data analysis portfolio project exploring the trajectory of the COVID-19 pandemic in Indonesia — from national growth trends down to province-level breakdowns of cases, deaths, and recoveries.
This Tableau dashboard visualizes COVID-19 trends in Indonesia, featuring key metrics, a provincial case map, and year-over-year charts on cases, deaths, and recoveries from 2020–2024.
Exploratory and predictive analysis of a Pokémon dataset (802 Pokémon, 7 generations) using pandas, seaborn, and matplotlib, followed by legendary-status classification with Random Forest and XGBoost (80% accuracy).
A collection of beginner-to-intermediate Python projects covering calculators, automation tools, interactive games, and data handling. Built to practice core Python concepts including control flow, functions, and working with external libraries.