Predict Potential Loan Customers with Python

I'm seeking a data scientist/developer proficient in Python to construct a predictive model for Universal Bank. The objective is to identify prospective customers with a higher likelihood of availing personal loans.

Key Project Components:
- Utilization of Decision Tree and Logistic Regression algorithms
- Analysis of customer demographics data, specifically age and income levels
- Encoding categorical variables as part of data pre-processing

Ideal Candidates Should Have:
- Proven experience with Python and predictive modeling
- Proficiency in Decision Tree and Logistic Regression algorithms
- Strong understanding of customer demographic analysis
- Skills in data pre-processing, particularly in encoding categorical variables

Your role will be critical in helping the bank to effectively target potential loan customers, thereby enhancing their marketing efforts and improving overall loan sales.