I will build bayesian models for forecasting, optimization and decision making
Machine Learning Engineer Specializing in Data Analysis Anomaly Detection
About this Gig
Want to predict the outcomes of your decisions with confidence?
I'll build a Bayesian models specifically for forecasting and optimization, that quantify confidence/uncertainty, helping you make better decisions when data is limited, noisy, or expensive to collect.
Services:
- Bayesian regression and forecasting
- Marketing Mix Modeling (MMM)
- A/B testing and experiment analysis
- Bayesian optimization for model tuning
- Custom probabilistic models in Python
- Model diagnostics and uncertainty analysis
This is for projects, business forecasting, marketing analytics, and decision-support systems.
We will provide you with:
- Clean Python code (PyMC)
- Diagnostic and performance plots
- Results interpretation in plain language
- Documentation of assumptions and findings
Whether you're optimizing marketing spend, evaluating experiments, or forecasting outcomes, I can help build a model that explains both the prediction and the confidence behind it.
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
•
Other
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
•
Colab
FAQ
Why choose Bayesian modeling?
Bayesian models provide both predictions and confidence estimates, making them useful when uncertainty matters.
Can you build Marketing Mix Models?
Yes. I can build MMM solutions for channel attribution, budget allocation, and marketing performance analysis.
What tools do you use?
PyMC, ArviZ, pandas, NumPy, scikit-learn, and related Python libraries.
Will I receive the source code?
Yes. All deliverables include documented Python code and supporting outputs
