I am a passionate & aspiring Data Analyst from Goa, India, dedicated to optimizing queries and finding the stories & why hidden within numbers. I transform raw data into clear, actionable business strategies using analytical tools.
- 🎓 B.Tech in Electrical Engineering
- 📊 Passionate about Data Analytics & Business Intelligence
- 💼 Experienced in Power BI Dashboard Development
- 🌱 Currently strengthening skills in SQL, Python & Data Engineering
- 📈 Love transforming raw data into actionable insights
- 🎯 Targeting Data Analyst roles at top companies
- ⚡ Fun Fact: I enjoy turning complex datasets into simple business stories
Here is a look at what I've been building across my 10 repositories:
- Analyzed 8,523 retail transactions generating $1.20M+ in total sales across multiple outlet types and product categories.
- Built an executive Power BI dashboard featuring 15+ KPIs, including Total Sales, Average Sales, Outlet Performance, Customer Ratings, and Inventory Distribution.
- Developed advanced DAX measures and interactive visualizations to identify top-performing product categories and revenue-driving outlets.
- Delivered actionable business insights that improved visibility into sales trends, outlet efficiency, and customer purchasing behavior.
- Designed and developed multiple end-to-end Power BI solutions covering data extraction, transformation, modeling, and business reporting.
- Created 15+ DAX measures and KPIs to track revenue, profitability, customer performance, and operational efficiency.
- Implemented star-schema data models and optimized report performance using Power Query and advanced DAX techniques.
- Built interactive dashboards with drill-through functionality and dynamic filtering, enabling data-driven decision-making for stakeholders.
- Analyzed 1,000+ customer transactions across multiple Walmart branches to evaluate revenue performance and consumer purchasing behavior.
- Performed exploratory data analysis using SQL and Power BI to uncover sales trends, customer preferences, and product demand patterns.
- Identified peak sales periods, top-performing product lines, and branch-level performance opportunities through data-driven insights.
- Developed an interactive business dashboard with 10+ key performance metrics supporting strategic planning and operational monitoring.
- Analyzed survey data from 630+ data professionals across various countries, experience levels, and job roles.
- Built a fully interactive Excel dashboard using Pivot Tables, Power Query, Slicers, and Dynamic Charts to visualize compensation trends.
- Automated data preparation and transformation workflows, reducing manual analysis effort by approximately 80%.
- Generated insights into salary benchmarks, high-paying skills, and regional compensation differences within the data analytics industry.
🏅 Microsoft Power BI Data Analyst
🏅 SQL for Data Analytics
🏅 Data Analytics Professional Certificates
🏅 Python for Data Analysis
Feel free to reach out if you want to collaborate on a data project, discuss query optimization, or talk about market insights!
