I will create recommendation and anomaly detection systems
Machine Learning, Deep Learning, GenAI, Computer Vision,
About this Gig
Are you looking to build intelligent systems that drive smarter decisions for your business? I specialize in developing powerful Recommendation Systems and Anomaly Detection Models tailored to your specific needs. Whether you want a content-based or collaborative filtering recommender to boost user engagement, or an advanced anomaly detection system to identify fraud, unusual behavior, or data irregularities I can help.
I build scalable machine learning solutions using Python, Scikit-learn, and deep learning techniques such as Isolation Forest, One-Class SVM, and Autoencoders. My services include data preprocessing, feature engineering, model development, evaluation, and optional deployment through Streamlit or API integration.
With a strong background in machine learning and real-world project experience, I focus on delivering clean, efficient, and business-ready solutions. Lets transform your data into actionable insights and intelligent automation.
Programming language:
Python
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SQL
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Colab
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MLflow
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Amazon SageMaker
Frameworks:
Scikit-learn
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SimpleCV
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Keras
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PyTorch
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Panda
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What kind of recommendation systems do you build?
I build both Content-Based and Collaborative Filtering recommendation systems. These can be used for products, movies, e-commerce platforms, or any dataset where personalized suggestions are needed.
What types of anomaly detection solutions do you offer?
I develop anomaly detection models for fraud detection, unusual transaction monitoring, network anomalies, sales irregularities, and data outlier detection using techniques like Isolation Forest, One-Class SVM, and Autoencoders.
What do you need from me to get started?
You need to provide: Your dataset (CSV/Excel/Database access) Clear project objective Any specific features or requirements Preferred deployment format (Notebook, Web App, API)
Can you deploy the system as a web app?
Yes. I can deploy your model using Streamlit or create an API using Flask/FastAPI for integration into your system.
Will I receive the source code?
Yes. You will receive clean, well-structured, and documented source code.

