Data Cleaning in SQL
In this project, I modified Nashville Housing data in SQL Server to improve its analytical use
London Housing Price Prediction Model
In this project I evaluated machine learning models for predicting house prices in London, leveraging a comprehensive dataset (London Housing Prices). Four distinct models were employed: Linear Regression, Random Forest Regressor, Elastic Net, and a Neural Network. The models underwent thorough evaluation using various metrics, providing insights into their performance and suitability for the given task
Data Exploration in SQL
In this project I explored global COVID 19 data using SQL Server with which I derived meaningful insights from the dataset
Addidas U.S Sales Project
In this project I explored Addidas U.S Sales Data using Sql, transformed and cleaned the data using DAX and Excel, and created a Power Bi dashboard to identify the top performing products. I also provided insights on maximizing the utilization of the data.
Google play Store Data Exploration
In this project I explored Google Play Store dataset using SQL Server
Tableau Projects
Tableau Dashboards for projects on AirBnB, and Google Play Store
AMAZON WEB SCRAPER WITH PYTHON
In this project I scrapped data from Amazon to analyze price data for products.
Exploratory Data Analysis in Python using Pandas
In this project I explored Customer Call List data using pandas with which I derived meaningful insights from the dataset
Data Cleaning in Python
In this project, I modified Customer Call List data using pandas to improve its analytical use
Location
Leeds, United Kingdom
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