Arpit Dubey — MBA Business Analytics candidate at DAVV, Indore. I build dashboards and segmentation models that tell people what to do next, not just what happened.
I'm an MBA Business Analytics candidate at the School of Data Science & Forecasting, DAVV — currently in my second semester, with a Bachelor of Commerce (Honours) already behind me.
My work sits at the point where a spreadsheet stops being a spreadsheet and starts being a decision. I've analyzed retail transactions to find where profit actually leaks, and segmented customers by recency, frequency and monetary value to find out who's worth protecting and who's about to churn. I care less about the chart being pretty and more about the sentence someone can write underneath it.
Contributed to the data analysis process at Zidio Development, transforming raw data into actionable business insights.
Analyzed 12,000+ retail transactions across 4 regions and 5 product categories, then built an interactive Power BI dashboard to surface where revenue and profitability were actually coming from.
Engineered RFM (Recency, Frequency, Monetary) metrics on 50,000+ purchase transactions from 5,000 customers, then applied K-Means clustering to split them into four behavioral groups.
Open to Business Analyst roles, internships and data projects.