ABOUT
Senior data science professional with a robust background in statistical analysis and data modeling obtained over five years of applied research and relevant work. Goal-driven, great listener, strong communicator, capable of working individually or as part of a team.
SKILLS
MACHINE LEARNING: Python | Dataiku | SKLearn | Pandas | SciPy | Numpy | Regression | Classification | Clustering | KNN | SVM | K-means | Random Forests | Decision Tree | Ensemble | spaCy | NLTK | XG Boost | TPOT | PyCaret |
CLOUD: AWS (EC2, S3, Redshift) |
QUERRY: SQL (server) |
VISUALIZATION: Matplotlib | Seaborn | Bokeh | Plotly | Folium | Tableau | SHAP | LIME |
BIG DATA: PySpark | Hadoop | MongoDB |
WEB: Flask | Selenium | REST API |
Recommender Systems | Marketing Analysis | Customer Segmentation | Churn | Prod. Classification & Upsell | Time Series Analysis | Risk Analysis | Anomaly Detection | ElasticSearch | Docker | Kubernetes | PuLP | MLflow |
JOURNAL PUBLICATION LIST
- https://bit.ly/HNPublications (Google Scholar)
PROJECT PORTFOLIO
- https://hnouraei.github.io/HoomanNouraei_Portfolio/ (GitHub Pages)