Twitter Sentiment Analysis - Text Mining
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Updated
Jan 11, 2019 - R
Twitter Sentiment Analysis - Text Mining
Real-time geopolitical instability prediction system using Apache Kafka, Apache Spark, XGBoost, NLP, and GDELT data for streaming analytics and risk forecasting.
Analyzed Olist e-commerce data using SQL and built a Tableau dashboard to identify revenue trends, top categories, and regional sales performance.
مشروع داتا جام (تحليل البيانات الصحية)
Interactive sales dashboard in Tableau using supermarket data
Comparitive study of different ML Algorithms using Energy Efficiency
COVID-19 analysis using Tableau: examining testing, vaccination, and travel patterns.
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.
Interactive Tableau dashboard analyzing employability trends, internships, projects, skills, and career readiness across 5,000 students.
This is webpage which shows the visualisation of climate change data publish by world bank
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.
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.
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
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