An Excel-based sales analytics project exploring product and revenue performance across regions, categories, and time periods. Includes data cleaning, KPI tracking, and visual insights to identify top-performing products, high-revenue regions, and customer payment preferences.

This is my recent project dashboard about bike sales around Europe. I did some data transformation with SQL and am likely to see the effect of the Discount campaign for customers who order above 150 euros in accessories.

Sales Performance Analysis with SAS

Honored to be a part of this amazing journey in Virtual Internship at PT. KIMIA FARMA, TBK🚀📊 This project not only brings out a sense of pride but has also involved me in creating an innovative Sales Dashboard as Big Data Analytics. Every step of the design is a reflection of our dedication to providing deep insights to optimize sales performance

Developed a dynamic Sales Pipeline Dashboard to visualize key metrics such as lead conversions, win rates, and deal values across various time frames. This interactive tool empowers sales teams to track opportunities, monitor deal progress, and optimize sales strategies for improved business outcomes.

Sales Performance Dashboard

The Sales Performance Dashboard is an interactive Power BI project designed to give a 360° view of your sales data. It helps businesses monitor key metrics, uncover trends, and make data-driven decisions with ease.

Developed a comprehensive sales analytics Report using Microsoft Excel of AtliQ Hardware monitor sales performance, track KPIs, and identify growth. Leveraged Power Query for data cleaning and transformation, Power Pivot for data modeling, and DAX for custom calculation

A comprehensive analysis of pizza sales data using SQL, uncovering key insights into sales trends, popular pizzas, and customer preferences. This project utilises four datasets to provide a detailed look at the restaurant's performance and operational efficiency.

Developed an interactive Retail Sales Performance Dashboard in Microsoft Power BI analyzing multi-year sales data (2019–2024). Applied Power Query, data modeling, and DAX to track KPIs such as Sales, Profit, Quantity, and Margin with dynamic filters and year-over-year comparison to deliver business insights.

Objective: Utilize diverse sales parameters to extract actionable insights and create an interactive dashboard with advanced visualizations. This will empower stakeholders to make informed, data-driven decisions that enhance sales performance and strategy.

Sales performance data analysis project exploring order volumes, revenue trends, customer behavior, and product performance using Python, SQL and Power PI.