Christopher Pease
MLOps Engineer at PVAI- Claim this Profile
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English Native or bilingual proficiency
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Spanish Limited working proficiency
Topline Score
Bio
Experience
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PVAI
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Technology, Information and Internet
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1 - 100 Employee
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MLOps Engineer
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Feb 2023 - Present
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Genpact
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United States
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Insurance
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1 - 100 Employee
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Data Scientist
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Jan 2021 - Feb 2023
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ETF Global
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United States
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Research
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1 - 100 Employee
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Data Scientist
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Dec 2018 - Jul 2020
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Data Science Consultant
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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
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Flatiron School
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United States
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Higher Education
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500 - 600 Employee
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Full time Data Science Student
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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
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The City College of New York
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United States
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Higher Education
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700 & Above Employee
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Undergraduate Research Assistant
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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
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Education
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Macaulay Honors College at The City University of New York
Bachelor of Science (BS), Physics -
Flatiron School
Data Science Immersive