• Developed advanced ML solutions for predictive maintenance and financial forecasting.• Integrated ML models into production systems, enhancing system performance by 35%.• Designed and implemented ML pipelines on AWS, reducing deployment time by 25%.• Conducted research on transformer-based architectures for NLP tasks, improving accuracy and efficiency.

• Designed and implemented scalable ML pipelines using Python; developed and fine-tuned deep learning models for computer vision and NLP.• Utilized GANs for data augmentation and real-time anomaly detection, improving model performance.• Collaborated with cross-functional teams to deploy ML models in production environments, ensuring seamless integration and scalability.

• Developed machine learning models using Decision Trees, Random Forest, and Logistic Regression for anomaly detection with 95% accuracy.• Conducted data analysis and visualization using Tableau and Power BI.• Automated ETL processes and developed applications to handle large datasets with Python, Numpy, and Pandas