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New to Data Science?
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Breaking into data science requires more than just coding skills - it requires a strategy. Whether you are switching fields from finance or starting from scratch, our comprehensive guide breaks down exactly how to enter the industry, build a portfolio, and land your first role.
Our end-to-end program is led by 10+ year veterans—faculty and mentors from top tech firms
Iraj Hedayati
Data Engineering Lead
Iraj Hedayati is a seasoned Data Engineer with over a decade of experience scaling data infrastructure for high-growth tech companies. Currently a consultant at Apple, he specializes in distributed systems, Spark, and backend development. As an instructor, Iraj focuses on real-world applications in big data and cloud infrastructure, drawing from his extensive background in leading large-scale migrations and optimizing modern data pipelines.
Mojtaba Faramarzi
Applied Research Scientist
Mojtaba is a Ph.D. student in Machine Learning at the University of Montréal’s Mila institute and holds two master’s degrees—one in Machine Learning from Mila and another in Software Engineering from Concordia University. He has worked with leading companies such as Amazon, Microsoft, SAP, and Ericsson. With experience in both teaching (McGill) and industry, he helps students build critical thinking and real-world skills.
Michel Chamoun
Data Science & Business Analyst
Michel is an expert AI developer and consultant who leverages skills in AI, data analysis, and optimization. He has built GenAI concepts using ChatGPT and implemented AI solutions on Microsoft Azure
Mojtaba Ghasemi
Senior Data Scientist
As a Senior Data Scientist with a Ph.D. in Biomedical Engineering, Ghasemi specializes in advanced analytics and machine learning. He has 5 years of experience translating complex insights and leading teams to deliver impactful business solutions.
