A skilled Data Scientist with substantial experience in Python programming, particularly utilizing libraries such as Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, and Keras, alongside SQL and Power BI for data analysis and visualization. Proficient in data scraping automation and collaboration with global teams to resolve data-related client issues, having successfully led data science projects in the energy sector by employing the CRISP-DM framework and Agile methodologies. As an instructor, effectively conveyed foundational concepts of Python and machine learning, enhancing learners' understanding of regression, classification, clustering, and advanced ML techniques. Holds a specialization in Neural Networks from MIT and certifications in Python and SQL from Kaggle.
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