Sahil Mandiya

Developed and evaluated machine learning models using Python libraries such as Pandas, NumPy, and scikit-learn to discover patterns and predict outcomes on real-world datasets. Built end-to-end data preprocessing pipelines and applied supervised (regression/classification) and unsupervised (clustering) approaches to improve model accuracy and data quality. Completed training modules focused on AI ethics and responsible algorithm development, applying best practices for data handling and deployment.

Developed and evaluated machine learning models using Python (Pandas, NumPy, scikit-learn) to identify patterns and predict outcomes. Built end-to-end data preprocessing pipelines and applied both supervised (regression/classification) and unsupervised (clustering) approaches to improve model accuracy and data quality. Followed best practices for data handling and model deployment and completed training modules focused on AI ethics and responsible algorithm development.

Developed and evaluated machine learning models using Python libraries such as Pandas, NumPy, and Scikit-learn to identify patterns and predict outcomes on real-world datasets. Built end-to-end data preprocessing pipelines and applied both supervised (regression/classification) and unsupervised (clustering) techniques to improve model accuracy and data quality. Completed training modules focused on AI ethics and responsible algorithm development, following best practices for data handling and model deployment.