Twitter Sentiment Analysis - Text Mining
Interactive sales dashboard in Tableau using supermarket data
COVID-19 analysis using Tableau: examining testing, vaccination, and travel patterns.
مشروع داتا جام (تحليل البيانات الصحية)
Comparitive study of different ML Algorithms using Energy Efficiency
This is webpage which shows the visualisation of climate change data publish by world bank
E-commerce KPI Dashboard
A collection of projects and practice exercises showcasing my journey in mastering data analytics.
propertyfinder-scraping-analysis-visualization
Data analysis project using Excel, Power BI & Tableau to visualize cancer risk and treatment cost.
Tableau visualisation
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.
This is a personal project involved conducting a data analysis on my Spotify Musics dataf to gain insights into my listening habits and preferences on the platform.
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.
Data profiling y-data profile, Data staging (Staging tables), Talend for ETL jobs, MySQL validations Dimensional model (Target tables), Facts and Dimensions, Mapping document explaining the source column name and where it finally maps to target column, Stage to Target, Document all transformations if any
Involves analyzing user data to identify patterns and build predictive models that can forecast whether users are likely to stop using the application.
Hate Crimes Analysis is a real-time data streaming and transformation pipeline designed to analyze hate crime data from 2017 to 2025. The project leverages modern big data technologies—Confluent Kafka for real-time data ingestion, PySpark for data transformations, and AWS S3 for cloud-based storage in Parquet format.
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