Looknig for python Quantitative data analysis expert to process the data
Budget: ₹2,000 – ₹5,000 INR
I am looking for someone expert who can analysis couple of excel sheets and help me to derive the insights. Todo
Problem 1: Prioritizing Growth Markets for Digital Solutions:
Analytics Technique used
Correlation Analysis: Explore relationships between GDP per capita, government spending on education, internet penetration, and market potential for digital solutions adoption.
Composite Scoring
Benefits: Informed market selection for EPIC's growth strategy, maximizing potential for digital learning solutions.
Problem 2: Identifying Profitable University Customer Segments: Focus Markets: Malaysia, Thailand, Vietnam, Indonesia, Philippines
Analytics Technique used
Data Preparation: Clean and preprocess data from different sources to ensure consistency and reliability.
Decision Trees: Segment university segments based on Annual income / total fee, Number Eng program,number of student.
Benefits: Targeted marketing and tailored offerings for the most profitable customer segments, driving revenue growth.
Data will be similar to what I attached.
Problem 1: Prioritizing Growth Markets for Digital Solutions:
Analytics Technique used
Correlation Analysis: Explore relationships between GDP per capita, government spending on education, internet penetration, and market potential for digital solutions adoption.
Composite Scoring
Benefits: Informed market selection for EPIC's growth strategy, maximizing potential for digital learning solutions.
Problem 2: Identifying Profitable University Customer Segments: Focus Markets: Malaysia, Thailand, Vietnam, Indonesia, Philippines
Analytics Technique used
Data Preparation: Clean and preprocess data from different sources to ensure consistency and reliability.
Decision Trees: Segment university segments based on Annual income / total fee, Number Eng program,number of student.
Benefits: Targeted marketing and tailored offerings for the most profitable customer segments, driving revenue growth.
Data will be similar to what I attached.