I turn messy spreadsheets and disconnected tables into dashboards people actually trust and use. Based in Dehradun, I work in Python, SQL, Power BI, and Excel — writing queries that answer the question behind the question, and building models that hold up under scrutiny.
I've shipped projects across retail, e-commerce, supply chain, and hospitality: tracing a 129K-order supply chain back to its bottlenecks, surfacing a 72% non-subscriber gap hiding in repeat buyers, cutting reporting turnaround by 30% through automation. My favorite part of the job isn't the chart, it's the moment someone who's never touched a query says, "oh, that's why."
- Business Analytics: Solving real-world problems using SQL, Python, and dashboards
- Data Visualization: Building dashboards in Power BI that people actually use, not just look at
- Customer & Retail Analytics: Understanding buying behavior, segmentation, and retention
- Automation: Using tools like Selenium to eliminate repetitive manual data collection
- Languages & Query: Python (pandas, NumPy), SQL (PostgreSQL)
- BI & Visualization: Power BI, Excel (Pivot Tables, Lookup Functions, Dashboards)
- Other Tools: Selenium (Web Scraping), Jupyter Notebook · Git/GitHub
| Project | Description |
|---|---|
| Customer Behavior & Segmentation Analysis | End-to-end analysis of 3,900+ customer records — Python cleaning, SQL analysis, Power BI dashboard |
| Supply Chain Analytics Dashboard | Power BI dashboard covering supplier performance, inventory, shipments, and revenue |
| Hotel Booking Analysis | Identified key drivers of booking cancellations and seasonal trends |
| Zepto Sales Data Analysis | SQL-driven analysis of quick-commerce sales data |
| Iris Flower Classification (ML) | Species classification using Python and Scikit-learn |
| Corporate Network Design | Multi-department LAN topology design in Cisco Packet Tracer |
⭐️ Feel free to explore my repositories — feedback and suggestions are always welcome!