You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Our sales analysis leverages data-driven insights to understand customer preferences, seasonal trends, and market dynamics. By uncovering patterns in sales data, we inform strategic decisions, optimize inventory, and boost customer satisfaction. At Adventure Works, we transform data into actionable strategies to meet the evolving needs of adventure
This project explores the data science job market, revealing correlations between skills, job roles, regions, and salaries. Leveraging Excel’s Power Query, PivotTables, DAX, and charts, it highlights high-paying skills like Python and SQL. These insights aim to guide data professionals toward in-demand skills for competitive career growth.
This project showcases a comprehensive Customer Detail Dashboard built using Excel. It visualizes key metrics and insights from transactional data (2020-2022), providing an interactive interface for analyzing customer behavior, sales performance, and profitability across regions and demographics.
Using Excel Power Query and PowerPivot, reorganise the data into a star schema and showcasing reports that can be created by data analysts using DAX formulae and PowerPivot
This DAX-based eCommerce dashboard provides a real-time snapshot of a business's financial position, aiding FP&A by highlighting key metrics for better decision-making. It handles large datasets from 2019 to 2021, visualizing KPIs like cumulative sales, profitable customers, and profit trends.
Content: Import & Direct query, Data Modelling (Power Pivot), Star & Snowflake Schema, Normalisation & Cardinalities, Cross-filter direction and Sync Slicers
Created interactive dashboards using Excel , provide insights into various aspects of store performance, including customer behavior. The goal is to help store managers and stakeholders make data-driven decisions for improving profitability and operational efficiency.
Data-driven project aiding University of Leicester students in finding affordable housing through Python scraping, Excel analysis, and PowerPoint visualisation. Insights on rental prices, property types, and optimal locations.
Assessed historical shipping data for a shipping company selling products and shipping them to its customers' destinations to determine future shipping strategies.
OLAP PivotTable Extensions is an Excel add-in which extends the functionality of PivotTables on Analysis Services cubes, the Excel Data Model (Power Pivot), and Power BI