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I will do data science, machine learning, and scientific computing in python
About this Gig
Are you looking for rigorous scientific computing, machine learning, or advanced data analysis backed by doctoral-level expertise?
I hold a PhD in Applied Computing from Brazil's National Institute for Space Research (INPE) and an MSc in Physics & Astronomy (Univap), combined with 13+ years of hands-on IT and software experience at the Federal Institute of São Paulo (IFSP). I help researchers, startups, and enterprises turn complex datasets into validated, actionable insights and predictive models.
What I Can Do For You:
- Machine Learning & Neural Networks: Predictive modeling, architecture selection, training, and hyperparameter tuning.
- Time-Series & Scientific Data: Stochastic time-series analysis, gradient pattern analysis, and geospatial/environmental data processing (GNSS/TEC, astrophysics, sensor data).
- Model Audit & Ground-Truth Validation: Statistical performance evaluation, error metrics, and reliability assessment.
- Custom Python Pipelines: Clean, reproducible scripts and Jupyter Notebooks for data processing and automation.
Message me with your dataset or project goals before ordering so we can align the best approach!
Domain:
Machine Learning
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Deep Learning
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Time Series Analysis
Programming language:
Python
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SQL
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Colab
Tools:
Jupyter Notebook
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TensorFlow
Technology:
Python
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scikit-learn
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Colab
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Jupyter Notebook
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SQL
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Pandas
FAQ
What do I need to provide to get started?
Please share a brief description of your project goals, your dataset (CSV, NetCDF, HDF5, JSON, SQL, or pickle files), and any specific requirements, reference papers, or existing code/models you want me to review or build upon.
Which programming languages and tools do you use?
I work primarily with Python (NumPy, Pandas, SciPy, Scikit-Learn, PyTorch, TensorFlow/Keras, Matplotlib/Seaborn) in Linux/Jupyter environments, delivering clean, well-documented, and reproducible scripts or notebooks.
Can you help with academic research or scientific validation?
Yes! With a PhD in Applied Computing and an MSc in Physics & Astronomy, I provide statistical ground-truth validation, stochastic time-series analysis, error metrics evaluation, and publication-ready visualizations for scientific and R&D projects.
