Alireza Sadeghi

Data Scientist.

About me

Ali reza Sadeghi

I am a Cum Laude MBA graduate, specializing in Business Information and Digital Marketing. Currently, I serve as the Lead Data Scientist at Tata Steel Europe. In this role, I collaborate with cross-functional teams to generate actionable insights through data analysis and planning.

I am passionate about problem-solving and innovation, particularly in big data, machine learning, and AI applications for business improvement. I have supervised junior data scientists, developed end-to-end solutions for various use-cases, and hosted company-wide data science workshops. Additionally, from time to time I give presentations to commercial departments to raise awareness about AI's benefits and practical applications.

I strive for attention to detail in my work and use agile-scrum methodology to deliver quality results within tight timelines. My commitment to staying up-to-date with emerging technologies enables me to provide clients with the best possible solutions. Finally, I possess an entrepreneurial spirit, which I have used to develop websites for small businesses (e.g.,Hair Salon, Nail Beautician), honing my skills in web development and small business management. I write blog as well, feel free to check it out!

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  1. Lead Data scientistLatest

    • Manage an international team of data scientists and big data specialists.
    • Implemented an internal Chatbot using Azure for internal process documents and metadata discovery.
    • Develop and oversee the execution of effective project strategies from initiation to completion.
    Formatted resume

  2. Senior Data scientist

    • Led the design and development of “Payload Optimization” project to maximize transport utilization capacity, delivering both financial and environmental benefits.
    • Developed a web application and supporting APIs to enable business users to plan transport using the Payload Optimization model
    • Built a machine learning model to predict production lead times, with applications in delivery estimation, production scheduling, and inventory management.
    • Mentored junior data scientists and provided technical leadership across multiple projects.

  3. Data scientist

    • Implemented a machine learning model to predict urgent transport needs, contributing to logistics cost reduction.
    • Streamlined the rush transport process to support efficient daily transport planning.
    • Created an interactive dashboard for transport data analysis, used for weekly performance reviews.
    • Facilitated AI awareness sessions within commercial teams to promote data-driven thinking.