Seyed Data Science, Machine Learning. Data analysis
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I am a highly skilled Data Scientist and Machine Learning Engineer with a strong background in Mechanical and Software Engineering. My expertise lies in the integration of machine learning models with mechanical systems to drive innovation and enhance system reliability. With a Master’s degree in Software Development from McMaster University, I have honed my skills in Python, MATLAB, and R, and have developed a deep understanding of data analysis, machine learning, and AI model deployment.

I have successfully applied my knowledge to optimize mechanical and embedded systems, particularly in the fields of Aerospace, Defense, and Healthcare. My work in Prognostic Health Management (PHM) has been instrumental in enhancing fault detection and predictive maintenance strategies, contributing to the improved performance and longevity of complex systems.

In addition to my technical skills, I am proficient in data visualization using tools like Tableau and Power BI, enabling me to present complex datasets in a clear and actionable manner. I am passionate about using my skills to solve real-world problems, driving efficiency, and creating impactful solutions.

I am committed to continuous learning and staying at the forefront of technological advancements. My ability to bridge the gap between engineering principles and data science allows me to deliver innovative solutions that meet the evolving needs of today's industries.

Subjects

  • Python Beginner-Intermediate

  • SQL Beginner-Intermediate

  • Data Science Beginner-Expert

  • Data analysis Beginner-Expert

  • AI & ML (Artificial intelligence & Machine Learning) Beginner-Expert

Experience

No experience mentioned.

Education

  • Computer Engineering (Jan, 2023–Jun, 2024) from McMaster University, Hamilton, ON

Fee details

    CA$20–30/hour (US$14.08–21.13/hour)

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