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      Ka'imi Kahihikolo

      Data Scientist, Booz Allen Hamilton

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  • Using Shallow NNs to Improve Kion/Pion Classification.

    Analyzed detector readings from the Belle particle collider to classify the presence of kions and pions, improving upon the previous benchmark and achieving over 90% accuracy.

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  • Prediction of Thermal Output Trends

    Classifying thermal types and forecasting future eruptions using Gaussian Mixture Modeling and Bayesian Analysis.

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  • Do the Pleiades Spin in the Same Direction?

    Determining if the spin of cluster members are isotropically—randomly—distributed or inherit some global rotation using Heirarchical Bayesian Analysis.

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  • SVM Binary Classification on Embryo Growth Curves

    Analyzing embryotic growth curves to determine the probability of euploid/aneuploid creation using the scikit learn framework.

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  • Developing Analysis Tools for Star Clusters Detected by VVV Survey

    Various Python analysis tools for cluster analysis for the survey team

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  • Impacts of Radio Jet Driven Outflows on Host Galaxy Evolution

    Inspect the kinematics of Active Galactic Nuclei (AGNs) to determine evolutionary impacts.

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  • Thieving Stars Caught by Kepler: A Search for Intermittent Accretors in Kepler Binary Systems

    Analyzing photometric data by Kepler to search for symbiotic binary systems.

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