I will train predictive ml models, CNN and deep learning
Design Engineer, Web Developer
About this Gig
Are you looking to turn complex data into highly accurate, actionable predictions?
I am a Mechanical Engineer specialized in AI and Machine Learning, bridging the gap between physical systems and advanced data analytics. Whether you need predictive maintenance models, performance forecasting for engineering datasets, or standard data-driven AI solutions, I build robust, deployment-ready predictive models tailored to your exact objectives.
I leverage Python frameworks (Scikit-Learn, TensorFlow, Keras, Pandas) to deliver optimized and mathematically sound results.
What I Offer:
- Data Engineering: Preprocessing, outlier detection, and advanced feature engineering.
- Predictive Modeling: Linear/Logistic Regression, Random Forests, XGBoost, and SVM.
- Deep Learning: Neural networks for complex pattern recognition.
- Model Optimization: Hyperparameter tuning and rigorous performance evaluation (Accuracy, F1-Score, RMSE).
Why Choose Me? I do not just run code; I understand the mathematical and physical realities behind the data. You will receive clean, well-documented Jupyter Notebooks or .py scripts that make contextual sense.
- Note: Please message me to discuss your dataset and project scope be
Programming language:
Python
•
MATLAB
•
Colab
Frameworks:
Scikit-learn
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DeepPy
•
Google ML Kit
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SimpleCV
•
Panda
APIs:
Microsoft Computer Vision AI
•
Google Cloud Vision API
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
•
SimpleCV
•
Colab
FAQ
What format should my data be in?
I accept data in almost any standard format, including CSV, Excel files, SQL databases, JSON, or text files. If you have a unique data format or live data streams, please message me to discuss.
Do you provide the complete source code?
Yes, the complete source code is included in all packages. I typically deliver clean, well-commented Jupyter Notebooks (.ipynb) or standard Python scripts (.py) depending on your requirements.
Can you work with custom or domain-specific datasets (e.g., engineering, physics, or niche business metrics)?
Absolutely. I specialized in aligning mathematical machine learning frameworks with custom domain logic, ensuring the predictive features make contextual and logical sense rather than just statistical sense.
Will you deploy the model to the cloud?
Cloud deployment engineering and API integration (using FastAPI or Flask) are covered under the Premium package. I can help configure solutions for AWS, Google Cloud, or Heroku.

