Business Analyst | Turning Data into Business Decisions
I analyze business problems using data and translate them into clear insights and actionable recommendations.
My work focuses on real-world scenarios such as:
- Customer churn & retention
- Marketing campaign performance
- Sales & profitability analysis
- Employee attrition
I approach analysis with a business-first mindset:
β Structure the problem
β Identify key drivers
β Deliver decision-ready insights
- Business Analysis & Problem Structuring
- KPI Design & Performance Measurement
- Segmentation & Root Cause Analysis
- Data Cleaning & Exploratory Analysis
- Data-Driven Decision Support
- Excel (Data Cleaning, Analysis)
- Power BI (Dashboarding & Visualization)
- SQL (Data extraction, joins, aggregation, business insights)
- Python (Pandas, NumPy, Matplotlib)
π View Project
- Identified low-margin categories despite strong revenue
- Highlighted profitability gaps and improvement opportunities
π View Project
- Discovered high-risk segment: inactive customers with 1 product (~36% churn)
- Provided targeted retention strategy recommendations
π View Project
- Identified high-value segments with 3β4x higher response rates
- Enabled more efficient marketing budget allocation
π View Project
- Found overtime employees are ~3x more likely to leave
- Delivered insights for workforce retention strategies
- Strengthening SQL for analytical querying
- Expanding Python for EDA and automation
- Building end-to-end analytics workflows



