Twitter Sentiment Analysis - Text Mining
Data Analytics Internship projects completed for Codveda Technologies — covering EDA, Time Series, Clustering, NLP Sentiment Analysis, and Interactive Dashboards (Power BI + Tableau)
مشروع داتا جام (تحليل البيانات الصحية)
Interactive sales dashboard in Tableau using supermarket data
This is webpage which shows the visualisation of climate change data publish by world bank
COVID-19 analysis using Tableau: examining testing, vaccination, and travel patterns.
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
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.
Data analysis project using Excel, Power BI & Tableau to visualize cancer risk and treatment cost.
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.
End-to-End Manufacturing defects Data Analysis: From Data Cleaning and EDA to Interactive Dashboards & Insights.
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.
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.
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