I will build machine learning models for anomaly detection and predictive analytics

I am a Python developer and machine learning engineer specializing in building intelligent data-driven systems for real-world use cases such as anomaly detection, predictive analytics, and threat intelligence.

My expertise includes designing end-to-end ML pipelines that go beyond simple models and focus on production-ready systems.

I work with:

• Machine Learning (Scikit-learn, XGBoost, clustering, classification)
• Data engineering pipelines
• Elasticsearch for large-scale data indexing and search
• Feature engineering and data preprocessing
• API integration for ML systems
• Cybersecurity and threat intelligence analytics

What I can build for you:

• Anomaly detection systems
• Predictive models for structured/unstructured data
• Fraud or malicious activity detection systems
• Data enrichment pipelines
• Custom ML models tailored to your dataset

I focus on building scalable, efficient, and production-ready solutions rather than just notebooks or prototypes.

Feel free to contact me before placing an order to discuss your requirements