Worked as a sessional instructor for the courses: - COMMERCE 4QA3:Operations Modelling and Analysis (Winter 2022)- BUSINESS Q775:Optimization and Machine Learning with Big Data (Winter 2023)

• Collaborate and conduct research with cross-discipline research teams and industry partners.• Collect, process, and analyze large-scale data to identify research questions.• Propose, design, and implement novel data-driven models and heuristic optimization algorithms.• Tutoring different Computational and Management Science courses and labs.

• Maintain software packages (GAMS, CPLEX, Tableau, MATLAB)

• Analyzed and identified data-driven business problems at a SaaS-based technology company.• Built and delivered models to leverage data efficiency in the organizational process.• Surfaced novel customer insights to inform decision-making at the senior levels.• Worked with cross-functional stakeholders within data science, and across product design, business decisions, payments, and customers support teams.• Influenced senior managers with data-driven findings to change certain data policies.

• Collect, process, and analyze large-scale empirical social network data.• Designed data-driven random models to simulate and analyze signed-directed social networks.• Proposed and implement a heuristic algorithm for unsupervised network clustering problems.• Tutored and assist in different undergraduate CS labs and courses (e.g. Capstone Software Engineering Project, Network Science, Algorithm Analysis, Discrete Structure, Programming in Java).