Maryam Shoaib

Data Scientist @Cardinal Health

WA, US

Develop and deploy machine learning models using TensorFlow, Keras, and PyTorch, enhancing predictive accuracy by 30% through advanced algorithms and data tuning.• Implement CNN and LSTM networks to enhance image and sequence processing tasks by utilizing cutting-edge deep learning techniques.• Perform data analysis and processing using Python, R, and JavaScript, leveraging libraries like NumPy, Pandas, and D3.js to enhance data visualization and analytics capabilities.• Led natural language processing projects with NLTK and SpaCy, improving customer sentiment analysis accuracy by applying sophisticated text analysis methods.• Created data visualizations in Tableau, which improved stakeholder understanding of complex data insights by designing interactive dashboards.• Boost model performance by 25% through rigorous feature engineering and evaluation, utilizing cross-validation techniques to fine-tune models.• Ensure high data quality and consistency by cleaning and preprocessing extensive datasets using automated scripts and tools.• Facilitate effective collaboration within an Agile/Scrum framework, aligning project deliverables with business objectives through continuous integration and deployment practices.