This project aims to accurately predict house prices in Seattle's King County by identifying key factors that influence property values. It assists homeowners, real estate agencies, and buyers in making informed decisions on property ownership. Key skills demonstrated include data preprocessing, EDA, and multivariate regression modeling.

Comprehensive analysis of the superstore_23 dataset to uncover business insights. Through univariate and multivariate analysis, I explored trends in sales, profit, customer segments, and regions. Results highlight key opportunities for business growth, with findings presented in a Tableau dashboard

This Tableau dashboard analyzes Sipp Beverages’ financial performance, focusing on net sales, gross profit, and purchase volumes. Sourced from ERP financial data, it features interactive filters for time and brand, providing actionable insights to support strategic decision-making.

This project involved analyzing AdventureWorks bike sales data to uncover key insights into sales performance by country, customer segments, and products. The findings informed strategies for targeted marketing, market expansion, promotional timing, and product quality improvements.

Analyzed transaction data from three NYC locations of Maven Roasters to uncover sales patterns and operational efficiencies. Tasks included revenue calculation, date/time extraction, PivotTable creation, and dashboard development. Recommendations were made to optimize operational hours and improve profitability for the Lower Manhattan branch.

My analysis about a Flyball dog race season.

This repository contains the data analysis, visualization and price modelling of the Nashville AirBnB dataset to gain valuable insights and create a better understanding of the AirBnB ecosystem in Nashville, Tennessee for all stakeholders involved.

This repository contains the exploratory data analysis and prediction model for house prices in Austin, Texas using data collected between 2018 and 2021. The data analyses and model results would be of importance to all stakeholders in the Austin housing market.

This report analyzes customer demographics and purchasing habits for AeroFit treadmills. The goal is to identify the target audience for each treadmill model and provide more informed recommendations to new customers.

Yelp InsightX is a comprehensive analysis conducted on the Yelp dataset, focusing on profiling, understanding, and deriving insights from the data.

Analyze the used devices dataset, build a model which will help develop a dynamic pricing strategy for used and refurbished devices, and identify factors that significantly influence the price.

Model for easy facilitation of visa processing and approvals

Northwind Traders Sales Analysis project, which analyses sales data for a fictitious company. It utilises the Northwind Database and includes SQL queries to provide insights on employees, products, suppliers and revenue. The project aims to help the company gain valuable information for business decision-making.

In this project I queried Chinook database by extracting, aggregating, and analyzing data. By competing my analysis, I was able to make suggestions on business optimization practices.

This GitHub repository showcases my hands-on exploration of salary data dependencies, the interaction between education and occupation, and a comprehensive Principal Component Analysis (PCA) on college information, providing insights and practical implications in a simplified manner.

A Sales Dashboard using Microsoft PowerBi.

Tabaleu Dashboard/Story creation using Insurance dataset

Maven Market

Adventure Works

An analysis of Video Game sales via Microsoft Excel