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.
- 🎯 Current Focus: Deep-diving into advanced data analytics and advanced query optimization.
- 💡 Philosophy: Data isn't just numbers; it's a map to better decision-making.
- ⚙️ Background: Engineering graduate turning business logic into scalable visual dashboards.
Here is a look at what I've been building across my 10 repositories:
- SQL_PROJECT_DATA_JOB_ANALYSIS_1
🔍 Diving deep into the data job market. Explores top-paying jobs, in-demand skills, and the intersections where high demand meets high salary for data analysts using optimized SQL queries. - Excel_Salary_Dashboard
💵 An interactive dynamic spreadsheet built to help job seekers investigate salary baselines across domains to ensure adequate compensation packages. - Project_02_Analysis
📈 An Excel-based marketplace analysis unpacking real-world job postings to identify key technical skills hiring managers seek most. - Walmart Sales Data Analysis
🛍️ A comprehensive sales analysis tracking performance trends, optimizing inventory insights, and mapping out customer purchasing behavior. - Python Data Analytics
🧹 A core programming portfolio focused on data cleaning, exploratory data analysis (EDA), and extracting business KPIs using Pandas and Seaborn.
- Power_BI_Data_Analytics
🎨 My central hub documenting end-to-end dashboard development, DAX calculations, and real-world visualization patterns.
- Customer_Shopping_Analysis
🎯 A deep-dive analytical project that segments customer demographics and purchasing patterns to uncover trends in shopping habits, enabling more effective data-driven marketing and inventory strategies.
Feel free to reach out if you want to collaborate on a data project, discuss query optimization, or talk about market insights!
- 👔 LinkedIn: in/rajay-ajay-jain-a3abb4168
"In God we trust, all others must bring data." — W. Edwards Deming
