Twitter Sentiment Analysis - Text Mining

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

Comparitive study of different ML Algorithms using Energy Efficiency

A Data Analysis project using Tableau

COVID-19 analysis using Tableau: examining testing, vaccination, and travel patterns.

E-commerce KPI Dashboard

A project focused on analyzing unstructured sales data, identifying issues, and deriving Insights.This repository contains SQL and Python code for exploring unstructured data and tablue for visualization

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.

End-to-End Manufacturing defects Data Analysis: From Data Cleaning and EDA to Interactive Dashboards & Insights.

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.

Tableau visualisation

As a Data Science Intern at Unified Mentor Pvt Ltd, I worked on multiple analytics and ML projects across e-commerce, HR, finance, and entertainment—cleaning data, analyzing trends, building dashboards, and creating predictive models. These projects strengthened my skills in Excel, SQL, Python, Power BI, and Tableau for real-world problem-solving.

This is a brief overview of what was learned during the internship at ITI Business Intelligence Track.

Showcase skill in AWS, Big Data warehousing, SPARK, Data Gathering, Data Analysis, Dashboarding and Reporting

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.