I will build a machine learning model for classification and prediction

I am an AI Engineer specializing in machine learning classification using Python.

I build models that solve real business problems:

- Spam or fraud detection

- Customer churn prediction

- Customer segmentation

- Sentiment or text classification

- Risk scoring

- Any binary or multi-class classification task

I work with different algorithms and pick the best one for your data:

- Logistic Regression

- Random Forest

- SVM

- Decision Tree

- Naive Bayes

- Neural Networks

- Gradient Boosting

What I focus on for every project:

- Clean, accurate preprocessing of your data

- Handling imbalanced classes

- Choosing the right features, not just using all of them

- Clear evaluation: accuracy, F1 score, precision, recall

- Clean, well-documented Python code you can understand and reuse

In my own research, I worked with a fraud-style dataset where one class had very few examples. By selecting the right features and handling the imbalance properly, I improved the model's Macro F1 score from 93.4% to 96.62%.

Send me your dataset details before ordering and I'll tell you honestly what's achievable.