Beautiful, themed data displays with Claude. Six visual idioms, Six voices, one skill.
End-to-end Exploratory Data Analysis (EDA) project on Superstore Sales dataset including data cleaning, feature engineering, outlier handling, customer segmentation, and business insights using Python, Pandas, Matplotlib, and Seaborn.
It is a technological system designed to identify & determine whether individuals within a given space or through a camera feed are wearing face masks or not. It employs computer vision algorithms, machine learning models, or deep learning techniques to analyze visual data, & detect the presence or absence of face masks on individuals faces.
Hotel Booking Analytics & Cancellation Prediction Project using Excel Dashboard and Orange Data Mining.
A data-driven deep dive into the correlation between professional stress, lifestyle habits, and sleep quality. Features Exploratory Data Analysis (EDA) and health metric visualization using Python.
It's a Power BI dashboard for Ecommerce sales analysis that can give valuable insights for the business growth.
A three part statistical diagnostic study of Spotify Music popularity using Multiple Linear Regression, Heteroscedasticity corrections, and influence analysis in R.
StackOverflow Java Stats - SUSTech Project of CS209A: Computer System Design and Applications A in Fall 2025 - Score: 98.5/100
This repository contains an R script for generating Circos plots to visualize accessory gene presence-absence patterns and expression levels in *Streptococcus pneumoniae* serotype 3. It compares clade I (PT8465) and clade II (ND6401) strains, highlighting differences in gene expression and adaptation.
Data analysis of Taylor Swift's Spotify discography using Python. Exploring correlations between track popularity, duration, and artist trends with Pandas and Seaborn
A modular Python habit tracker with streak analysis, completion rates, and matplotlib visualizations.
Data Manipulation and Reporting using Zomato Dataset
A Python Data Science script utilizing Pandas and Matplotlib to process, aggregate, and visualize 8 months of high-intensity fitness metrics into an interactive dashboard.
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