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    Gary Ditlow

    Data Scientist

    Gary Ditlow is a data analytics and machine learning expert with a background in smarter energy research and VLSI chip design.

    His expertise includes classification, clustering, regression, neural networks, sentiment analysis, and deep learning.

    Gary has conducted research in nonlinear optimization, parallel computing, and design verification.

    He is proficient in Python Scikit-learn, R, Octave, and Tableau for developing machine learning algorithms.

    Gary Ditlow has experience in developing smarter energy simulators for optimal power flow and reliability.

    Throughout his career, he has received numerous awards for his contributions to CAD, circuit design, and data analytics.

    Gary holds a Master's degree in Computer Science from Rensselaer Polytechnic Institute and a Bachelor's degree in Electrical Engineering from the University of Maryland.

    He also pursued Clean Tech Certification in Clean Energy at NYU School of Professional Studies.

    Currently, he serves as a Data Scientist Consultant, having previously held research and engineering roles at IBM TJ Watson Research Center.

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    Location

    Greater New York City Area