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NYC Data Science Acedemy | Blog
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  • blog > authors > Carlos Salas Najera
    Carlos Salas Najera

    Carlos Salas Najera

    Carlos is a passionate individual for investments and technology with long/short equity analysis and portfolio management experience that has worked over the last 10 years in combining his fundamental, quantitative and data science skills in order to deliver superior returns. His core strength lies on his understanding that investments is a continuous learning process that requires a regular disciplined effort and relentless mindset. Throughout the last ten years, Carlos has been running investment mandates summing up more than 1 billion dollars, training junior analysts, enhancing his technological skills and delivering double-digit returns for his investors. He earned his MBA at AFI Business School, and degree in Business & Economics at the University of Alicante. In addition, he is also a CFA, graduated in Game Theory and Competitive Strategy at the London School of Economics and graduated at NYCDSA (New York City Data Science Academy). Currently, Carlos is increasing his skills at the NYC Data Science Academy to increase the amount of alternative data to be used in his investment models and develop machine-learning tools that tackle issues related to behavioral finance errors.

    Articles Contributed by Carlos Salas Najera

    Capstone

    Predicting Profit Warnings: NLP applied to Conference Call Transcripts Analysis

    by Carlos Salas Najera
    Jul 31, 2017
    The objective of the following research is to introduce the reader into NLP (Natural Language Processing) and how...
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    Machine Learning

    Quant Screening Backtesting: Turnaround Stocks

    by Carlos Salas Najera
    May 4, 2017
    Introduction: What are turnaround stocks? Turnaround investing is the process of looking for investment opportunities in down-and-out companies...
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    Machine Learning

    Predicting Interest for NYC Apartment Rental Listings - A Guideline For Landlords and Agents

    by Carlos Salas Najera, Tom Hunter, Drace Zhan and Jake Bialer
    Mar 7, 2017
    The objective of the following research is to predict the number of inquiries a new listing receives in...
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    Machine Learning

    Using Weekly Box Office Numbers to Predict Movie Stocks Sentiment

    by Carlos Salas Najera
    Jan 19, 2017
      The following analysis seeks to shed some light on the opaque world of movie producers and distributors....
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