As a Professor of Data Analytics and MBA Instructor, I have the opportunity to teach and mentor students in the fields of data management, analytics, and decision-making. In my courses, I focus on equipping future leaders with the critical skills needed to harness the power of data to drive business strategy and decision-making.
I teach students how to manage, analyze, and interpret complex data sets to extract valuable insights and make data-driven decisions. I also emphasize the importance of analytical thinking and how data can inform strategic choices in various business contexts. Through engaging lectures, case studies, and hands-on projects, I aim to bridge the gap between theory and practical application, preparing students to excel in the data-driven business landscape.
As a Women in Tech mentor with TCCP, I empower aspiring female technologists to break barriers, build advanced skills, and confidently navigate their careers in a rapidly evolving tech landscape. Through guidance, hands-on support, and real-world insights, I help shape the next generation of leaders driving innovation in technology.
I had the privilege of leading a Lunchtime Table Topics session at UXPA, where I shared my insights on how Artificial Intelligence can be leveraged to enhance user experience. During this session, I discussed the transformative potential of AI in UX design, exploring how AI-driven tools can streamline processes, personalize user interactions, and improve overall usability. It was a great opportunity to engage with industry professionals and inspire innovative thinking on the intersection of AI and user experience. https://www.linkedin.com/feed/update/urn:li:activity:7327397464540389376/
I mentor students and professionals on AI projects, guiding them from scratch through the full lifecycle: data collection, cleaning, training AI models, and applying NLP techniques. By providing hands-on guidance, I help learners build practical skills, understand real-world AI workflows, and transform ideas into functional, intelligent solutions.
I had the privilege of delivering a Guest Lecture for the Clinical & Business Intelligence course (HINF-602-A) at Sacred Heart University, where I shared my insights on the intersection of healthcare data, business intelligence, and AI technologies. During this session, I engaged with students by discussing real-world applications of data engineering and how clinical and business intelligence systems drive decision-making in healthcare organizations. My goal was to inspire the next generation of data professionals by providing practical knowledge and fostering critical thinking about the evolving role of data in healthcare.
Year : 2021 and 2022