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
Comparitive study of different ML Algorithms using Energy Efficiency
COVID-19 analysis using Tableau: examining testing, vaccination, and travel patterns.
E-commerce KPI Dashboard
Analyzed Olist e-commerce data using SQL and built a Tableau dashboard to identify revenue trends, top categories, and regional sales performance.
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.
End-to-End Manufacturing defects Data Analysis: From Data Cleaning and EDA to Interactive Dashboards & Insights.
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.
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.
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
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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