I will build deep learning models using python and pytorch
AI and Machine Learning Engineer, Data Scientist, IoT Engineer
About this Gig
Need help building a reliable machine learning model or turning your data into useful insights?
I provide Python-based data science and machine learning solutions tailored to your project needs.
Services include:
- Data cleaning and preprocessing
- Exploratory data analysis and visualisation
- Feature engineering and model development
- Machine learning and deep learning using PyTorch and TensorFlow
- Model testing and performance evaluation
- Source code and technical documentation
Why work with me?
I hold an MSc in Data Science with Distinction and have hands-on experience in deep learning and time-series forecasting. My NASA MEDA research involved analysing nearly 6 million Mars atmospheric sensor records and developing LSTM and Transformer models using Python and PyTorch.
You will receive a structured solution, clean Python code, and clear documentation.
**Have a project in mind? Contact me before ordering to discuss your dataset, requirements, and expected outcomes. Let's find the right solution for your project!
Programming language:
Python
•
R
•
SQL
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Colab
•
Java
Tools:
Jupyter Notebook
•
TensorFlow
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Colab
Frameworks:
Scikit-learn
•
Keras
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PyTorch
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Panda
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TensorFlow
FAQ
Q: What information do you need to start the project?
A: Please provide your dataset, project objectives, target variable (if applicable), and any specific requirements or evaluation metrics.
Q: Which machine learning and deep learning frameworks do you use?
A: I primarily use Python, PyTorch, TensorFlow, and Scikit-learn, selecting the most suitable tools for your project.
Q: Will I receive the source code?
A: Yes. The agreed deliverables include the Python source code and relevant technical documentation.
Q: Can you work with time-series forecasting problems?
A: Yes. I have research experience in time-series forecasting, including LSTM and Transformer models using NASA MEDA atmospheric data.

