As a seasoned Data Scientist with expertise in Machine Learning, I offer custom-designed Recommendation Systems that leverage advanced algorithms to deliver personalized experiences. Whether you're aiming to enhance your e-commerce platform, content platform, or any system that benefits from targeted recommendations, I can help you design, develop, and deploy powerful solutions that drive user engagement and boost conversions.
Key Services Offered:
- Collaborative Filtering: Creating systems that recommend products, content, or services based on user behavior and preferences.
- Content-Based Filtering: Designing recommendation systems that suggest items based on the attributes of the content and users' past preferences.
- Hybrid Recommendation Models: Combining collaborative and content-based filtering methods to optimize results.
- Personalization & Segmentation: Tailoring recommendations based on detailed user profiles and preferences for highly-targeted suggestions.
- Real-Time Recommendations: Implementing systems that update recommendations dynamically as new data arrives, providing real-time personalized suggestions.
Technologies & Tools:
- Python (Pandas, NumPy, Scikit-Learn)
- TensorFlow & Keras (for deep learning models)
- Natural Language Processing (NLP) for text-based recommendations
- Collaborative and Content-Based Filtering Algorithms
- Matrix Factorization, Neural Networks, and Ensemble Techniques
- Whether you need a simple recommendation engine or an advanced AI-powered solution, I can guide you through the entire process—from research and development to deployment and performance tuning.
Why Choose Me:
- 7+ Years of Experience in developing machine learning and AI solutions
- Proven Track Record of building scalable, effective recommendation systems
- Focus on optimization, ensuring fast, high-performing, and scalable solutions
- Data-Driven Insights to continuously improve recommendation accuracy
- Let’s work together to provide your users with the best, most personalized recommendations!