Team Lead & Project Manager – McGill Industry Consulting ProjectManaging a team of five to deliver AI-driven solutions for fraud, AML, and cybersecurity. Oversee scope, schedule, budget, and quality while ensuring team collaboration, risk mitigation, and stakeholder alignment for successful project delivery.

Data Engineer – McGill Industry Consulting Project.Leveraging AI/ Generative AI/ Advanced data analytics to develop cutting-edge accelerators in fraud detection, Anti-Money Laundering (AML), and cybersecurity.

• Conducted in-depth research and analysis to identify ideal suppliers, streamlining the supply chain based on factors such as quality, cost, and fulfillment terms• Developed and evaluated multiple business models aimed at optimizing Maison Melo’s presence in the e-commerce landscape

• Finalized a study about the relevance of Emotional Intelligence for engineering graduates• Refined CSI model by identifying +9 additional factors that influence decision-making criteria across cultures & genders• Developed macro-economic cost-reduction strategies for Tesla’s EV batteries• Developed optimal charging mechanisms through AI aiming to make EVs more accessible

• Managed +100 clients to assess vehicle issues & adjustment timeframes• Organized and managed the workflow, day-to-day operations, and schedule of a 15-person service team

• Developed CEED’s (Center for Entrepreneurship, Empowerment, Development) business plan (CEED is in partnership with UKZN University in South Africa)• Created the strategic roadmap aimed at communicating project goals and vision with the team• Managed CEED’s schedule, budget, risks, weekly operations, and stakeholders to ensure its full delivery (on time, budget, scope, and quality)• Established team-building activities to foster teamwork, boost morale, and maximize productivity level