I'm an IT Project Manager with a proven background and strong knowledge of Machine Learning and Artificial Intelligence. My track record reflects the ability to successfully execute projects within demanding timeframes, showcasing my adaptability in swiftly accommodating new changes and client priorities. As an exceptionally agile product owner, I thrive on seizing new business opportunities and tackling challenges, driven by a genuine passion for learning and solving complex problems. As a PMI-certified Project Management Professional, I strive to lead teams with an agile mindset to encourage an environment of continuous development, transparency, safety, respect, and collaboration. I have steadily cultivated a profound comprehension of diverse industry practices, while consistently demonstrating my prowess by delivering exceptional results to my clients. My unwavering commitment to ongoing personal and professional development fuels my enthusiasm to stay updated on industry trends and breakthroughs. I firmly believe in the synergistic fusion of technical expertise and adept project management principles as the cornerstone of achieving success, ensuring that both innovation and harmonious teamwork flourish in tandem. Backed by a proven history of consistently exceeding expectations, I possess unwavering confidence in my capacity to deliver substantial value and drive remarkable outcomes within any project or organizational setting.Here are some achievements that I am most proud of: 1. Enhanced the underwater source detection efficiency by 3%, concurrently reducing system build costs by over $350,000.2. Mitigated forest fire risks by 25%, employing machine learning and visualization tools. Achieved a 20% reduction in response time, averting potential damage to 100 hectares of Canadian forests annually.3. As a team lead and project manager, I trained my team of 6 on the implementation of agile practices and thereby successfully delivered the project to our clients while jointly publishing 3 IEEE Conference Papers.Core Competencies and Technological Skills: Machine Learning, AI, Python, ArcGIS, Excel, Tableau, Jira, Notion, SharePoint, MS Project, MS Office, Exploratory Data Analysis (EDA), Operational Experience, Software Development Lifecycle methodologies, Agile Practices, Scaled Agile Methodology, SAAS, Leadership, Change Management Methodologies, Project Metrics, Project Coordination, Conflict Resolution, Scope Management, Resource Management, Budget Management, Stakeholder Management, Communication Management, Risk Management, Business KPIs.
Listed skills include Matlab, C, Research, C++, and 12 others.