I will analyze data with advanced analytics to deliver actionable insights
Data, Decisions and Impact, Analytics Dashboards and Business Models
About this Gig
I help businesses unlock the full potential of their data through advanced analytics and statistical modeling. For a leading retail giant with 100+ outlets, I carried out a space yield analysis to optimize product placement and maximize returns.
Business problem- The client needed to understand how different product categories performed across outlets with varying space allocations. They required a systematic, data driven approach to guide space allocation decisions.
Approach-
Data Gathering: Collected sales data from 100+ outlets and recorded space/bay allocations for product categories.
Clustering Analysis: Used statistical clustering to group categories based on movement and allocated space.
Quadrant & Scatter Analysis: Visualized category behavior to identify yield patterns and inefficiencies.
Prescriptive Modeling: Simulated changes in bay space allocation to estimate potential gains and provide actionable recommendations.
Results-
Visibility into category performance across outlet types.
Identification of underperforming categories and space inefficiencies.
Prescriptive insights on how reallocating bay space could improve yield.
Data driven recommendations for management
Expertise:
Business Insights
•
Trends
•
Probability
•
Math
•
Statistics
Technology:
Excel
•
Google Sheets
•
Power BI
Programming language:
R
•
DAX

