Fateme Khanipour

I’m a freelance Machine Learning Engineer passionate about data analysis and research, with hands-on experience in deep learning, predictive modeling, and customer analytics. I continuously learn and focus on delivering impactful, scalable AI solutions.

In my ongoing “Price Elasticity Modeling” project, I design a price elasticity analysis system using nonlinear models (XGBoost/LightGBM) and econometric approaches (VAR, panel regression). I’ve added customer segmentation, dynamic pricing with reinforcement learning, neural networks for large datasets, and interactive dashboards using Dash or Streamlit.

For a “Facial Recognition System” freelance project, I built a detection and feature extraction pipeline with OpenCV and DeepFace. I used data augmentation with TensorFlow/Keras and analyzed results with Seaborn to validate performance.

My internship work in “Bank Loan Default Prediction” strengthened my modeling workflow end-to-end, from PCA/UMAP/t-SNE and clustering (K-Means, DBSCAN, OPTICS) to predictive models like Logistic Regression, XGBoost, Random Forest, and MLP—optimized with GridSearch and Optuna. I also build customer segmentation dashboards (RFM) and propose retention and incentive strategies for each segment.