Conducted sentiment analysis, built CNN-based image classifiers, deployed solutions as API web services with Docker on AWS, and implemented analytics pipelines for e-commerce using Python, Django, Numpy, Pandas, Scikit-learn, Keras, PyTorch, Docker, AWS.

Developed and deployed ML models for sentiment analysis, credit risk, and image classification using Python, Django, Docker, AWS. Built analytics pipelines and APIs for large-scale data.

Created tailored training solutions, advised on workflow automation, designed learning materials, and provided technical consulting using Bizagi Studio, Python, SQL, BPMN, Azure.

Improved client onboarding by 25% and enhanced business process automation workflows using Bizagi, Python, SQL, BPMN, and workflow automation.

Built and fine-tuned NLP/speech models, resolved backend issues, optimized SQL, implemented containerization and DevOps, led testing for ML pipelines using Python, Django, SQL, Docker, AWS.

Developed NLP and speech models, optimized SQL queries, implemented Docker-based DevOps, and led bug-fixing for ML pipelines using Python, Django, SQL, AWS.