How to build Flutter apps by every squad.

Learning Tableau and displaying data accurately

analysis of android malware , their functionality

Data and analysis code supporting paper, "Popular music lyrics and musicians' gender over time: A computational approach".

This project analyzes a bank's loan application data to uncover patterns in approvals, income levels, risk profiles, and demographics. It uses Python for processing, MySQL for queries, and Power BI for interactive dashboards.

Exploratory & Explanatory Analysis of Prosper Loan Data.

Welcome to E-commerce Sales Dashboard! 🚀 We uses time series analysis to deliver sales forecasts and valuable insights. This dashboard feature interactive visualizations, allowing deep exploration of key metrics.

A global regular expression matching print command for network packet filtering

This is the code and corpus used for reseraching possible gender bias in Colombian Medical education. The LDA method for topic modeling is used to see frequencies and relationships across topic in the medical literature

analyze linux resource utilization

Sunspot comparison of a data scientist with JupyterAI

Full-stack GenAI analytics assistant — combines ETL, dbt, and semantic modeling with LLM text-to-SQL and auto-visualization.

َAn easy-to-use app for solving complex mathematical problems using numerical methods. It supports various algorithms with interactive visualizations and a responsive Arabic interface.

This repository contains a comprehensive HR Analytics Dashboard designed to provide insights into employee attrition and various factors impacting it. The dashboard is built using Power BI and MS Excel, offering customizable features for easy data filtering and analysis.

An interactive Power BI dashboard for Spotify 2024 analysis, integrating Python for API data extraction and advanced visuals. Features include dynamic graphs, a custom heatmap with Matplotlib & Seaborn, and deep insights into streaming trends and user preferences.

In this project, I used space mission data from 1957 onwards to analyze and visualize trends over time.