Twitter Sentiment Analysis - Text Mining
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Updated
Jan 11, 2019 - R
Twitter Sentiment Analysis - Text Mining
مشروع داتا جام (تحليل البيانات الصحية)
Analyzed Olist e-commerce data using SQL and built a Tableau dashboard to identify revenue trends, top categories, and regional sales performance.
Interactive sales dashboard in Tableau using supermarket data
COVID-19 analysis using Tableau: examining testing, vaccination, and travel patterns.
This is webpage which shows the visualisation of climate change data publish by world bank
Comparitive study of different ML Algorithms using Energy Efficiency
E-commerce KPI Dashboard
A Credit Risk Decision Engine that uses Machine Learning (Random Forest) to predict loan default probability and optimize bank profitability through risk-tiered approval logic
A complete roadmap of Data Analysis from A to Z — covering acquisition, cleaning, exploration, visualization, modeling, automation, and reporting. Includes practical Python notebooks, sample datasets, and modular scripts to guide beginners and professionals through the full data lifecycle.
Data analysis project using Excel, Power BI & Tableau to visualize cancer risk and treatment cost.
The aim of this project is to perform an in-depth analysis of Hollywood movies using Tableau to uncover insights about movie trends, box office performance, genre popularity, ratings, and more. This visualization-driven project helps stakeholders such as producers, marketers, or movie buffs understand key patterns in the film industry.
End-to-End Manufacturing defects Data Analysis: From Data Cleaning and EDA to Interactive Dashboards & Insights.
Most retail dashboards just show what happened. This project asks the harder questions — where is the business bleeding money, which customers actually matter, and is Q4 strength a win or a risk? Built 6 interactive dashboards targeting Senior Sales Executives, each designed to challenge a business assumption rather than confirm one.
I'm excited to share our latest HR Analytics project, developed as part of our graduation project in DEPI – Digital Egypt Pioneers Initiative. In this project, we utilized Tableau, Jupyter Notebook, Power Query, and SQL to analyze and visualize HR data interactively.
Analyzed and researched on how various factors like Bed availability, average prices, zip code, top regions affect the Price of the properties and plotted the graphs of target attributes as a dynamic dashboard.
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