Senior Data Scientist
Current• Developed and implemented an AI-driven tool for customer service agents, enhancing experiences and saving time through real-time support and recommendations powered by natural language processing and machine learning.• Led User Acceptance Testing (UAT) and End-to-End (ETE) sessions, refining the customer service tool’s performance and usability.• Engineered sentiment analysis models for real-time emotion detection, enabling proactive interventions.• Created a scoring model for a dating app using decision tree algorithms, VIF, SMOTE, KBest, and logistic regression, improving match prediction accuracy.• Integrated the model into an Azure web app for real-time scoring, ensuring seamless backend integration.• Configured Azure Machine Learning environments for scalable model training and deployment.• Provided Azure consulting to establish secure, scalable data processing and storage solutions.• Collaborated with developers to integrate the scoring model within the dating app, conducted extensive testing, and validated match prediction reliability.• Developed an AI golf assistant using OpenAI API for accurate, context-specific answers, significantly enhancing user interaction.• Integrated relevant links and resources, improving platform interactivity and user experience.• Implemented advanced document analysis for insights from golf-related documents, aiding user decision-making.• Generated personalized maps and itineraries for golfing experiences, leveraging AI for tailored recommendations.• Collaborated with cross-functional teams to ensure seamless AI deployment and continuous improvement.• Conducted user testing and feedback analysis, refining AI performance to meet high satisfaction standards.