Christopher Pease

MLOps Engineer at PVAI
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Contact Information
us****@****om
(386) 825-5501
Location
US
Languages
  • English Native or bilingual proficiency
  • Spanish Limited working proficiency

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Experience

    • Technology, Information and Internet
    • 1 - 100 Employee
    • MLOps Engineer
      • Feb 2023 - Present
    • United States
    • Insurance
    • 1 - 100 Employee
    • Data Scientist
      • Jan 2021 - Feb 2023
    • United States
    • Research
    • 1 - 100 Employee
    • Data Scientist
      • Dec 2018 - Jul 2020
    • Data Science Consultant
      • Oct 2018 - Dec 2018

      • Utilized natural language processing to clean and analyze text data from disparate sources • Used Python with scikit-learn to perform cluster analysis of customer inquiries • Employed K-means clustering algorithm to identify use-cases for chatbot • Led client meetings and offered data-driven insight to aid product development • Utilized natural language processing to clean and analyze text data from disparate sources • Used Python with scikit-learn to perform cluster analysis of customer inquiries • Employed K-means clustering algorithm to identify use-cases for chatbot • Led client meetings and offered data-driven insight to aid product development

    • United States
    • Higher Education
    • 500 - 600 Employee
    • Full time Data Science Student
      • Jun 2018 - Oct 2018

      Projects: ETF Forecasting Dashboard • Created a market map visualization of 2200+ ETFs using Bloomberg's bqplot python library • Trained Random Forest, SVM, and XGBoost classifiers (scikit-learn) to predict price change direction • Applied ARIMA model (fbprophet) and LSTM neural network (Keras) to predict fund prices Fake News Detector • Conducted NLP analysis (scikit-learn, NLTK) to classify deliberately misleading news articles • Achieved 94% testing accuracy using Naive Bayes Classifier and Logistic Regression • Performed sentiment analysis of articles (TextBlob, Vader) Twitter Geolocation • Stored historical and live tweets from Twitter API in PostgreSQL database (Tweepy, SQLAlchemy) • Classified tweet location using Random Forest, Logistic Regression, and ADABoost Classifiers • Used SMOTE to address class imbalance

    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Research Assistant
      • Mar 2015 - Jun 2017

      • Measured W-boson polarizations in top quark decays to set limits on anomalous contributions to the Wtb vertex • Used C++ to run Monte Carlo simulations to validate results and generate 3D plots • Composed and presented results using LaTeX typesetting software • Collaborated with international group of CERN physicists, co-authoring multiple papers published in Physical Review D • Measured W-boson polarizations in top quark decays to set limits on anomalous contributions to the Wtb vertex • Used C++ to run Monte Carlo simulations to validate results and generate 3D plots • Composed and presented results using LaTeX typesetting software • Collaborated with international group of CERN physicists, co-authoring multiple papers published in Physical Review D

Education

  • Macaulay Honors College at The City University of New York
    Bachelor of Science (BS), Physics
    2012 - 2016
  • Flatiron School
    Data Science Immersive
    2018 - 2018

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