Available to hire
Hi, I’m Mohammed Lebbadi, a data scientist based in Toronto, Ontario. I’m passionate about using big data, machine learning, and analytics to build innovative applications that solve real-world problems.
My expertise lies in designing and implementing algorithms that enable the processing and analysis of large data sets, driving data-driven decision making for businesses. I stay current with software trends and enjoy working with multiple languages, frameworks, and tools to deliver impactful AI and automation solutions.
Skills
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Expert
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Language
English
Fluent
Work Experience
AI Software Developer at Academy of Learning Career College
May 1, 2025 - PresentDesign, develop, test, and deploy AI-powered automation tools for internal and external systems across multiple business domains. Collaborate with cross-functional teams to identify automation opportunities in administrative, academic, and student service processes. Develop custom scripts, bots, or low-code solutions using Python, JavaScript, or RPA platforms. Led the development of a chatbot application powered by LLMs, using Flask and RESTful APIs to handle student inquiries with context-aware, multi-turn conversations. Integrate AI solutions with existing CRM, ERP, and LMS platforms (e.g., Canvas LMS, QuickBooks, Moodle, Campus Login). Leverage machine learning and natural language processing (NLP) for predictive analytics and intelligent process automation. Supporting the broader adoption of AI by identifying automation opportunities across other ventures owned by the company.
Stock Support Associate at COACH OUTLET
November 1, 2024 - February 1, 2025Processed shipments/transfers within Coach standards and timeframes. Fulfilled online orders accurately and efficiently. Completed daily operational tasks including store maintenance and backroom organization. Replenished inventory on the sales floor.
Automation Technician at FRASERS GROUP
October 1, 2023 - June 1, 2024Maintained consistent operation by supporting planned and reactive maintenance activities. Fault diagnosis, cleared stoppages and blockages, and optimized automation performance. Evaluated equipment for safety and reliability, promoting continuous improvement. Implemented process improvements that increased automation efficiency by 15%, reducing downtime and boosting throughput. Developed and executed a preventative maintenance schedule that decreased reactive maintenance incidents by 30%.
Machine Learning Intern at TOLUNAY MANAGEMENT LTD
November 1, 2022 - May 1, 2023Collaborated with a team of engineers to develop a reinforcement learning-based model to optimize ship routes for fuel efficiency and reduced environmental impact, achieving a 10% reduction in fuel costs. Developed a predictive maintenance model to identify potential engine failures in advance, resulting in a 20% reduction in maintenance costs. Assisted in creating dynamic data visualization tools to monitor engine health in real-time. Engaged with a research team to leverage the latest advancements in machine learning and maritime technologies.
Education
Master’s in Data Science and Artificial Intelligence at Bournemouth University, United Kingdom
January 1, 2021 - July 1, 2022Bachelor’s in Computer Engineering at Arab Academy for Science and Technology and Maritime Transport
November 1, 2014 - June 1, 2019Qualifications
Industry Experience
Software & Internet, Education, Professional Services, Other
Skills
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Expert
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