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Fiverr Pro
Français
$
USD
I will build predictive maintenance ml model for mechanical engineering systems
3D CAD Modeling, SolidWorks Design and ANSYS Simulation Expert
I’m a Mechanical Engineer with expertise in 3D CAD modeling, SolidWorks design, KeyShot renders & animation, and ANSYS simulation. I provide detailed mechanical parts, assemblies, product designs, and...
À propos de ce service
Are your machines failing unexpectedly? I build machine learning
models that predict mechanical failure before it happens saving
you costly downtime and repair bills.
I am a Mechanical Engineer with hands-on
experience in FEA, structural analysis, and Python data science.
Unlike generic ML freelancers, I understand the engineering
physics behind your data.
WHAT YOU GET:
Trained ML model (Random Forest / XGBoost)
Data preprocessing and feature engineering
Model validation with accuracy and confusion matrix
SHAP explainability plots
Reusable Python scripts
Professional engineering report
I WORK WITH:
Vibration and sensor data
FEA and simulation outputs
Fatigue and stress test data
Bearing fault datasets
Any industrial CSV dataset
WHY CHOOSE ME:
A data scientist without engineering knowledge builds models that
look good on paper but make no physical sense. I combine ML with
real mechanical engineering expertise your model will actually
reflect reality.
Message me before ordering. I will tell you honestly if ML is
the right solution for your data.
Mon portfolio
FAQ
What type of data do you need from me to build the ML model?
I work with any engineering dataset in CSV or Excel format — vibration signals, sensor readings, FEA simulation outputs, stress and fatigue test data, or temperature logs. Just share your data and describe the problem and I will handle everything from there.
I am not technical. Will I understand the results you deliver?
Yes. Every delivery includes a professional engineering report written in plain language explaining what the model found, why it made each prediction, and what action you should take. SHAP explainability plots visually show which factors are driving the predictions.
What is the difference between your Basic and Premium packages?
The Basic package delivers a working failure classifier with an accuracy report. The Premium package adds SHAP explainability, fine tuning, model documentation, and a full reusable Python script so your team can run the model on new data anytime without hiring anyone again.
Can you work with small datasets?
Yes. Many industrial clients have limited historical data. I use techniques like cross validation, feature engineering, and ensemble methods to build reliable models even with small datasets. Share your data first and I will give you an honest assessment before you order.
Do I need to know Python to use what you deliver?
No. I deliver everything ready to use — a trained model, clear results, and a professional PDF report. If you want the Python scripts, they are included in Standard and Premium packages with simple instructions so even non-programmers can run them.
