There are 1 repository under tabluea topic.
Twitter Sentiment Analysis - Text Mining
E-commerce KPI Dashboard
A Data Analysis project using Tableau
Comparitive study of different ML Algorithms using Energy Efficiency
A collection of projects and practice exercises showcasing my journey in mastering data analytics.
This is webpage which shows the visualisation of climate change data publish by world bank
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.
Analyzing NYC/Newark Citibike dataset, looking for trends using Tableau Public and creating a Tableau Story using findings.
Involves analyzing user data to identify patterns and build predictive models that can forecast whether users are likely to stop using the application.
Tableau visualisation
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.
Showcase skill in AWS, Big Data warehousing, SPARK, Data Gathering, Data Analysis, Dashboarding and Reporting
The BAND Program is a course that helps to learn how to analyze and visualize data using Excel and Tableau to help the organization in solving their problems.
This is a brief overview of what was learned during the internship at ITI Business Intelligence Track.
Case Study Of Bike Company
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
For the Google Business Intelligence Professional Certificate, this is my final project. Google instructors offer the Google Fiber Customer Service dataset, which is used in the final project to create a dashboard.
This repo will contain files related to hackathon
Hr Analystics 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