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    Javed Ahmed

    Computational economist; training and R&D in AI/ML, applied econometrics, risk management

    Javed Ahmed is a highly experienced professional specializing in designing and implementing corporate learning programs focused on analytics and data science.

    With a background as a research scientist, Javed has led the development of econometric and machine learning applications, having worked in prestigious organizations like the Federal Reserve, US Treasury, and Amazon.

    His expertise spans various domains including forecasting, statistical computing, risk management, and supply chain optimization among others.

    Javed holds a PhD in Financial Economics, MA in Statistics, and has studied Finance, Operations Management, and Systems Engineering from renowned institutions like the University of California, Berkeley, Wharton School, and the University of Pennsylvania.

    During his career, he has held positions such as Principal Research Scientist at AIC Analytics, Senior Economist at Amazon, Instructor at Kaplan, and Adjunct Professor at The Johns Hopkins University, showcasing his diverse skill set and knowledge.

    With a deep understanding of topics ranging from introductory analytics using R or Python to advanced Natural Language Processing (NLP) and deep learning, Javed's courses are designed to empower participants to collaborate effectively with data teams and enhance their analytical skills.

    Highlights

    Jan 6 · youtube.com
    Machine Learning III (Jared Kaplan) - YouTube
    Machine Learning III (Jared Kaplan) - YouTube
    Jan 5 · youtube.com
    Machine Learning I (Jared Kaplan, Johns Hopkins university)
    Machine Learning I (Jared Kaplan, Johns Hopkins university)
    [PDF] Notes on Contemporary Machine Learning for Physicists

    Related Questions

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    Javed Ahmed
    Javed Ahmed, photo 1
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    Location

    Portland, Oregon, United States