I will build machine learning models
About this Gig
Struggling to turn raw data into a working, reliable machine learning model? I build custom ML solutions for classification, clustering, prediction, and sentiment analysis designed around your actual dataset, not generic templates.
I'm an ECE (AI Specialization) student conducting hands-on ML research, with real project experience: a CNN-LSTM-Attention model for financial data, an 88%-accuracy sentiment analysis system (BERT+ViT), and an AI document tool with 92% accuracy using Gemini + FAISS. I work in Python with Scikit-learn, PyTorch, TensorFlow, Pandas, and NumPy.
What you get: clean preprocessing, a properly tested model, performance metrics, and fully documented, ready-to-run source code. No black-box output; I explain what the model does and why it works.
Whether it's a coursework project, a research prototype, or a client deliverable, I treat every order like it needs to hold up to scrutiny.
Message me before ordering if your dataset or use case is unusual; happy to confirm scope first.
Programming language:
Python
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R
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SQL
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Colab
Frameworks:
Scikit-learn
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DeepPy
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Keras
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PyTorch
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Panda
Tools:
Jupyter Notebook
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TensorFlow
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Excel
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Colab
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RStudio
