• Lead a team of 3 data scientists in developing and implementing machine learningmodels for predictive analytics• Collaborate with cross-functional teams to identify opportunities for AI integration inbusiness processes• Develop and maintain complex mathematical models to solve business problems andoptimize decision-making• Conduct regular workshops on advanced mathematical concepts for team members• Achieved a 25% improvement in model accuracy through the implementation of noveloptimization techniques

• Designed and delivered undergraduate courses in Linear Algebra, Calculus, andProbability Theory• Assisted in supervising 4 master's students in their research projects, resulting in 3published papers in peer-reviewed journals• Collaborated with the Computer Science department to develop interdisciplinary courseson AI and Machine Learning• Contributed to research projects focused on mathematical optimization in AI systems• Participated in organizing the annual "Mathematics in AI" symposium, attracting over150 participants each year

• Assisted in the development of statistical models for large-scale data analysis projects• Implemented machine learning algorithms to improve predictive capabilities in climatemodeling• Contributed to 2 research papers published in reputable journals in the field of appliedmathematics• Presented research findings at a national conference on applied mathematics and datascience• Collaborated with industry partners to apply mathematical models to real-world problemsin finance and healthcare