Deployed a Python-based chatbot using NLP and TensorFlow, reducing query response time by 20% and boosting customer satisfaction by 15%. Applied NLP techniques to analyze and improve automated responses, reducing user frustration by 25% and increasing the overall effectiveness of customer service interactions. Implemented agile methodologies, creating a cross-disciplinary collaborative environment, resulting in a 20% improvement in decision-making. Utilized various model evaluation techniques to achieve a 94% accuracy rate in chatbot responses, significantly improving response quality and user experience. Prepared and managed ad-hoc customer satisfaction surveys, analyzing feedback to implement service improvements that boosted customer retention rates by 12% within six months.

Utilized Python data science stack to analyze over 50 datasets, improving data processing efficiency by 30% and aiding strategic planning. Streamlined and optimized data processing workflows with Python and applied statistics, cutting processing time by 15% and boosting data handling efficiency by 25%. Generated compelling visualizations and reports using advanced data visualization techniques, improving decision-making speed by 10% and a 30% increase in interpretability. Applied advanced exploratory analysis techniques to extract insights, driving a 20% improvement in campaign effectiveness. Refined reports in a fast-paced environment, reducing decision-making time by 40% and enhancing strategic agility.