I will build a custom machine learning or deep learning model in python
PhD Data Scientist for Forecasting, Machine Learning and Statistics
About this Gig
You will get a machine learning solution tailored to your data and business objectives. Whether you need a new model built from scratch, improvements to an existing model, or help understanding why current approaches are underperforming, I can help.
I hold a dual PhD in Mechanical Engineering and Computational Mathematics and have extensive experience developing machine learning algorithms for complex, noisy, and real-world datasets. My work has included time-series forecasting, signal processing, classification, optimization, and predictive modeling across engineering, scientific, and biological applications.
Unlike many freelancers who focus solely on model training, I emphasize understanding the data, identifying bottlenecks, validating results, and providing clear recommendations. Every project includes rigorous evaluation and transparent communication so you understand both what the model can do and its limitations.
Whether you're a startup, researcher, engineer, or business owner, you'll receive a professional solution backed by strong analytical and machine learning expertise.
Programming language:
Python
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MLflow
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Julia
APIs:
Other
Tools:
Jupyter Notebook
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OpenCV
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OpenNN
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TensorFlow
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Excel
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MLflow
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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
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TensorFlow
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Can you guarantee a specific accuracy or performance level?
No. Model performance depends heavily on data quality, quantity, and the nature of the problem. I focus on building the best possible solution and providing clear analysis of limitations and opportunities for improvement.
What types of data can you work with?
I work with tabular data, time-series data, sensor data, financial data, engineering data, signal data, and many other structured datasets.
Do I need to provide a large dataset?
Not necessarily. During the initial review I will assess whether the available data is sufficient and recommend appropriate approaches.
Will I receive the source code?
Source code is included in packages unless otherwise specified.
Can you improve an existing machine learning model?
Yes. Many projects involve analyzing existing models, identifying bottlenecks, improving features, tuning hyperparameters, and validating results.
