Excel
Projects
PowerBI
Projects
SQL
Projects
Me
Welcome to my portfolio website!
I'm a passionate data enthusiast with a knack of turning raw data into actionable insights. With 2 years of hands-on experience, i thrive on leveraging advanced techniques in data cleaning, sorting, and transformation in power query. My strength lies in crafting interactive dashboards using Power BI and to find KPIs that helps in making data-driven decisions. Additionally, my proficiency extends to data analysis and insights generation using Python and SQL.
Browse through my portfolio to witness my data analysis projects and the value i can bring to your organisation.
Skills
Python
SQL
DAX
Excel
Data Modelling
M language
Data Visualization
Power BI
Projects
AtliQ Sales and Finance Analytics Reports showcases my exploration into customer and market performance, financial health, and strategic decision-making. Leveraged ETL methodologies, Power Query, Power Pivot, and DAX to craft impactful reports.
Created a Power BI dashboard called Business Insights 360 for AtliQ Hardwares, a company that sells computer hardwares. The dashboard helps them to understand their financial, sales, marketing, supply chain, and executive performance of their customers across the world.
In this Project I have utilized MYSQL as my database management system to extract meaningful insights from data. These insights will empower the company to enhance the decision making and optimize the operations, eventually boosting the overall performance.
Restaurant analysis project showcases my exploration into its retail sales data to gain actionable insights that will enhance the performance of the fast food network.
Domain/Function: Retail Sales
The project aims to explore historical sales data from Walmart to understand top-performing branches, product sales trends, and customer behavior.The project involves data wrangling, feature engineering, and exploratory data analysis (EDA).
Domain/Function: E-commerce
The Project is about delving into the historical sales data of E-commerce giant Amazon to analyze and visualize the data to gain insights into revenue, profit, order and customer trends, product categories, delivery performance, and customer demographics.