I will build a machine learning model for prediction or classification
Machine Learning Engineer, AI Systems and Predictive Modeling
About this Gig
I build machine learning models that turn your data into predictions, whether that's a number (sales, pricing, demand) or a category (churn, risk, approval).
What you get:
- Clean, well-documented Python code (scikit-learn, pandas)
- Proper model evaluation: RMSE, R², precision/recall, ROC-AUC, cross-validation, not just accuracy
- A clear summary of results and what the model tells you about your data
- Feature importance analysis, so you understand why the model predicts what it does
My background includes building and deploying full AI systems, not just notebooks including a reinforcement learning system for treatment optimization tested on real clinical data, and a deployed AI hiring platform using computer vision and speech recognition. I bring that same rigor to every model I build, however small.
Send me your data and what you're trying to predict, and I'll tell you honestly what's achievable before we start.
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Colab

