Leaf sinobi

I am a data analyst and AI/ML engineer with hands-on experience in search evaluation, data annotation, and applied machine learning. I have delivered large-scale algorithm feedback and built reproducible ML pipelines that emphasize interpretability and robust evaluation.

My project work includes NLP pipelines for text extraction and sentiment analysis using NLTK and BeautifulSoup, and behavioral models for customer subscription prediction with extensive feature engineering and cross-validated model tuning. I have achieved strong performance metrics such as 85% accuracy with Random Forest and well-tuned logistic models with L1 regularization.

I bring practical tool experience in Python, SQL, scikit-learn, and data visualization, plus a disciplined approach to data preprocessing, hyperparameter tuning, and production-ready automation. I seek roles where I can apply metric-based analysis and clear technical communication to improve products and user experience.