- MCA Graduate from Lovely Professional University (2022 – 2024)
- Passionate about Data Analytics & Business Intelligence
- Fresher actively building my Data Analyst portfolio
- Currently learning Advanced SQL & DAX
- I turn raw data into clear, actionable business insights
- Based in Kolkata, India | Immediate Joiner | Open to Relocate
Languages & Libraries:
BI & Visualization Tools:
Databases & Tools:
Python + Power BI | Online Retail Dataset
My first end-to-end Data Analytics project — performed RFM (Recency, Frequency, Monetary) segmentation on an Online Retail dataset to identify customer churn risk and revenue patterns.
| Metric | Value |
|---|---|
| Total Revenue Analyzed | ₹8.91M |
| Customers Segmented | 4,000+ |
| Top Segment (Champions) | 39.49% of customers |
| At Risk Customers | 14.59% |
Key Insights:
- Champions drive the majority of total revenue (~₹4M)
- At Risk segment flagged for urgent retention campaigns
- Loyal customers show high frequency but lower spend
- Retention campaign strategy recommended from RFM scores
Tools Used: Python · Pandas · Power BI · RFM Analysis · DAX
** Student Intern — TechTree Technology** (Aug 2020 – Oct 2020)
- Worked with MySQL for structured data storage & retrieval
- Wrote SQL queries for data handling & backend operations
- Built dynamic web pages using HTML, CSS & JavaScript
- MCA — Lovely Professional University (2022 – 2024)
- BCA — George College (2018 – 2021)
Just getting started on GitHub More projects coming as I build my portfolio!
"Every expert was once a beginner. Every pro was once an amateur."
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