Babis Nikandrou CV DS_Mar 25.pdf
Welcome to my portfolio!
I have worked on various Data Science Projects, where I have used Python, SQL, Data Preparation, Data Cleansing, Data Warehousing, ETL and Machine Learning libraries like Pandas, Numpy, Seaborn, Matplotlib, Scikit-learn, XGBoost, and NLTK.
I have worked in real life scenarios such as building Predictive Models for Heart Attack Prediction and Monkeypox Screening and conducting **** RFM Segmentation and Clustering in customer segmentation where I've applied advanced techniques like Grid Search Cross-Validation, DBSCAN Clustering, and Latent Dirichlet Allocation (LDA). I’ve also worked with APIs and Text Mining tools to analyze social media data, and SQL for data management and analysis in large-scale competitions such as LEGO Education.