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I will build graph neural network gnn models using pytorch geometric
Data Scientist, Python and IoT Developer
👋 Mudasar Hussain | Data Analyst & ML Developer | IoT Developer & Data Scientist | Arduino | ESP32 | Python | BS Data Science @ University of Kotli AJK
I turn raw data into real business decisions. 3...
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I build production-ready Graph Neural Network (GNN) solutions that turn your graph data into real predictions and actionable insights.
What I Build: Custom GNN Models GCN, GAT, GraphSAGE, GIN Node Classification & Link Prediction Graph Based Recommendation Systems Knowledge Graph Modeling & Completion Network Analysis & Community Detection End-to-End PyTorch Geometric Pipelines Clean Documented & Reproducible Code.
Stack: Python | PyTorch | PyTorch Geometric | TensorFlow | NetworkX | Scikit-learn | Docker
Why Me: BS Data Science GPA 3.59 | University of Kotli AJK Real end-to-end ML systems from raw data to deployment Hands-on TensorFlow & Deep Learning experience Clean production ready code always delivered 20+ Professional Certifications.
You Get: Full Source Code Model Evaluation Report Data Visualizations On-time Delivery Free Consultation.
Delivering production ready GNN solutions for research and real world applications.
Message me before ordering!
Lenguaje de programación:
Python
•
R
•
MATLAB
Marcos:
Scikit-learn
•
keras
•
PyTorch
•
Panda
•
Otros
API:
Google Cloud Vision API
Herramientas:
Jupyter Notebook
•
opencv
•
TensorFlow
•
Colab
Mi porfolio
Otros servicios de Ciencia de datos y aprendizaje automático que ofrezco
FAQ
What graph data formats do you accept?
CSV edge lists, adjacency matrices, JSON or NetworkX graph objects. I handle all preprocessing so you just share your raw data and I take care of the rest.
Which GNN architectures can you build?
GCN, GAT, GraphSAGE and GIN using PyTorch Geometric depending on your task and data structure.
Can you build a recommendation system using GNN?
Yes. I design GNN based recommendation systems tailored to your graph data and business goals.
Will I receive the source code?
Yes. Every order includes clean, commented and fully reproducible Python source code ready to run.
Can you deploy the model as an API?
Yes. I deliver FastAPI or Flask ready inference pipelines for easy integration into your application.
Is this suitable for academic research?
Yes. I deliver well documented pipelines with evaluation reports suitable for both research and production use.
What if my data is not in graph format yet?
No problem. Share your raw data and I will convert it into proper graph structure before building the GNN pipeline.
How do I get started?
Message me with your data and goal before ordering. I will confirm feasibility and recommend the right package immediately.
