Excel
Project
PowerBI
Projects
SQL
Project
Me
I'm a data analyst passionate about transforming complex information into clear, actionable insights. With a keen eye for detail and a knack for learning new skills, I leverage my expertise in Excel, Power BI, SQL, and Python to tackle your toughest data challenges.
My experience includes:
➜ Crafting compelling dashboards using Power BI to bring data to life and drive user engagement.
➜ Ensuring data quality through meticulous cleaning techniques like standardization and deduplication.
➜ Extracting and analyzing data with precision using SQL and advanced querying methods.
➜ Delivering data-driven solutions to complex business problems across various domains.
I'm constantly expanding my skillset, focusing on data visualization best practices and stakeholder communication to ensure everyone can grasp the value of data.
Skills
Microsoft Excel
Power Bi
SQL
Python
Analytical Thinking
Effective Communication
Problem Solving
Projects
Domain/Function: Sales & Finance
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.
Domain/Function: Brick & Mortar and E-Commerce
Business Operations Analysis is a powerful dashboard created using Microsoft Power BI. This multi-functional dashboard has been customized to provide AtliQ Hardware with valuable insights into their different departments such as Finance, Sales, Marketing and Supply Chain.
Domain/Function: Supply Chain
I created a BI dashboard for AtliQ Mart to track delivery performance metrics, including ‘On-Time’ (OT %), ‘In-Full’ (IF %), and ‘On-Time In-Full’ (OTIF %) against targets. This will help address service issues and ensure reliability before expanding to new cities.
Domain/Function: Consumer Goods
Analyzed AtliQ Hardware's data using SQL and Excel, addressing ad-hoc requests and additional research. The project provided insights to optimize product performance, improve sales efficiency, refine discount strategies, and support data-driven decisions to enhance profitability and reduce costs.