I am a Master of Management in Artificial Intelligence (MMAI) student at the Schulich School of Business and currently serve as the Director of Technology for the Schulich Ventures Club. With experience in SQL, Python and cloud technologies I focus on designing data-driven solutions that bridge technical insights with business impact. I have hands-on experience with projects in Natural language processing, computer vision, predictive modelling and data visualization. I have also volunteered on the evaluation committee for the national Smart India Hackathon which deepened my passion for innovation and collaboration. My focus is on leveraging AI and cloud solutions to drive innovation and measurable progress in finance, healthcare and social impact initiatives.

I am eager to deepen my expertise in cloud-native AI systems, applied data science and responsible technology adoption. I’m particularly interested in how NLP, computer vision and predictive analytics can be scaled to solve real problems in finance, healthcare and community development. I’m looking to connect with peers who share a passion for data-driven innovation, collaborative problem-solving and building AI solutions that matter.

I am exploring applied AI use cases through Schulich’s MMAI program and outside initiatives. Recently, I’ve been experimenting with predictive models for risk assessment, A/B testing frameworks for customer behavior and real-time dashboards that turn data into insights. I’m also learning about generative AI and agentic AI, while using Google Cloud to build scalable workflows and practical solutions for business and community impact.

Zena Bamboat is a Master of Management in Artificial Intelligence (MMAI) student and Student Representative at the Schulich School of Business, York University. With a background as a software developer at Bell Canada, she has extensive experience in building accessible digital platforms, writing complex SQL queries, and leveraging data for business insights. Zena has served as a judge and speaker at national hackathons and STEM events, where she champions innovation, collaboration, and human-centred design. Her interests lie at the intersection of AI, cloud technologies, and accessibility, with a focus on creating scalable solutions that drive real-world impact in healthcare, sustainability, and community initiatives.

I’m interested in exploring how AI and cloud technologies can drive impact in healthcare, accessibility, and sustainability. I’m eager to learn more about scalable ML solutions on Google Cloud, generative AI applications, and experiment design for real-world data. I’d love to connect with collaborators passionate about human-centered AI, data-driven innovation, and responsible tech adoption.

Currently working on academic and applied AI projects through Schulich’s MMAI program, including predictive modeling in healthcare, experimentation with customer analytics, and building scalable pipelines on Google Cloud and SQL Server. I’m also developing accessibility-focused AI use cases and exploring generative AI for real-world problem solving.

I am a Master of Management in Artificial Intelligence candidate at York University’s Schulich School of Business and a graduate of Rotman Commerce at the University of Toronto. My academic and professional journey bridges data science and business strategy, with experience in predictive modeling, database design, and applied analytics. I have led projects on credit risk forecasting, e-commerce customer behavior, and tourism analysis using real-world datasets. Beyond academics, I have over three years of leadership experience organizing case competitions, mentoring students, and driving community initiatives. Recognized as a 2024 Oracle NetSuite MasterSuite Winner, I am passionate about leveraging AI and analytics to solve complex problems and create meaningful business and social impact.

I am interested in applying AI and analytics to financial services, healthcare, and consumer behavior. I want to learn more about responsible AI, model interpretability, and experimentation frameworks. I hope to connect with professionals working on applied AI solutions that improve efficiency, uncover opportunities, and drive meaningful impact.

Currently developing a machine learning model to forecast credit card defaults using demographic and payment data. Also analyzing NYC Airbnb rentals to uncover economic signals such as tourism and housing pressures, and exploring customer behavior in the Brazilian e-commerce market with the Olist dataset to study purchasing, logistics, and satisfaction.

I am a Master of Management in AI student at Schulich School of Business and a Business Technology Consultant at Bank of Montreal. I am passionate about using AI to empower businesses to make data-driven decisions while enabling a human-centric AI approach. I am AWS Cloud certified and have worked on cloud transformation projects in the past as well!

AI Product Management, building ML pipelines and apps utilizing existing LLMs

I am currently working on a project to automate the sponsor finance portfolio at work.

Machine Learning Engineer in training with 3 years of experience delivering analytics and data engineering solutions at ZS Associates for global clients. Skilled in building ML models, automating data pipelines, and deploying cloud-native AI systems on Azure and AWS. Currently pursuing a Master of Management in Artificial Intelligence (MMAI) at the Schulich School of Business, with hands-on projects in predictive modelling, MLOps, and large-scale data processing. Recognised for bridging technical depth with business impact and passionate about designing scalable, reliable AI systems that make technology accessible to all. I am particularly interested in how AI and cloud technologies can drive impact in healthcare, accessibility, and sustainability, with a focus on scalable ML solutions.

I am particularly interested in how AI and cloud technologies can drive impact in healthcare, accessibility, and sustainability, with a focus on scalable ML solutions on Google Cloud, generative AI applications, and real-world experiment design. I’m eager to connect with peers and collaborators who share a commitment to human-centred AI, data-driven innovation, and responsible tech adoption.

Currently working on academic and applied AI projects through Schulich’s MMAI program. I am exploring LLMs and NLP for real-world text analytics, alongside predictive modelling and experimentation with customer and risk datasets. I am also building scalable pipelines on Google Cloud and SQL Server to handle enterprise-scale data. Beyond academics, I’m developing an accessibility focused AI use case and experimenting with gen AI and agentic AI for practical problem-solving and business impact.