• Developed a Python application using TensorFlow to enhance entity extraction from academic texts, achieving a 15% increase in accuracy.• Created a tool in C++ and Java to analyze and debug source code across multiple programming languages, improving code quality for collaborative projects.• Led enhancements to a chatbot system, implementing sequence-to-sequence models that boosted contextual response accuracy by 20%.• Streamlined NLP model training processes, reducing data preprocessing time by 30% through automated Python scripts.• Organized monthly NLP workshops and provided mentorship in Python and machine learning, enhancing the capabilities of over 10 lab members.

• Engineered custom data analytics platforms for clients in the finance and healthcare sectors using Python and SQL. Solutions enabled data-driven decision-making through visual dashboards and automated reports.• Deployed machine learning models to predict customer behavior, achieving over 85% accuracy and significantly boosting marketing strategies.• Helped in the migration of data workflows to AWS, improving scalability and reducing costs by 20% while ensuring data security.• Conducted data science workshops for clients, increasing their engagement and understanding of data analytics tools and practices.