Research Focus
Investigated evolutionary genetic algorithms for association rule extraction applied to customer profiling. The research focused on analyzing contracting trends to identify cross-sell opportunities for customers using innovative techniques.
Innovation & Development
Custom Algorithm Development
Developed a proprietary algorithm based on binary logic for massive processing of customer data with association rules. This work required building machine learning solutions from scratch without relying on dedicated libraries, providing deep understanding of algorithmic fundamentals.
Data Privacy
Implemented comprehensive data anonymization techniques to protect sensitive customer information while maintaining analytical value.
Key Achievements
- Novel Approach: Created innovative solutions to complex problems using evolutionary algorithms
- Practical Impact: Delivered research with direct business applications for customer profiling
- Technical Depth: Built ML algorithms from first principles, gaining deep technical expertise
- Client Focus: Maintained strong client orientation throughout the research process
Skills & Methodologies
This research role developed:
- Deep understanding of genetic algorithms and evolutionary computation
- Advanced data preparation and analysis techniques
- Client-oriented approach to research
- Ability to solve complex problems with novel solutions
- Expertise in data privacy and anonymization