• Proficiency in data analysis techniques using Python libraries like NumPy, Seaborn, Matplotlib, SQLAlchemy, Pandas, TensorFlow, and Keras.• Understood Text Analytics, generating data visualizations using Python, and creating dashboards using tools like Tableau, Excel, and Power BI.• Knowledge of transforming business requirements into analytical models, designing algorithms, building models, developing data mining and reporting solutions that scale across a massive volume of structured and unstructured data.