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blog > authors > Carlos Salas Najera

Carlos Salas Najera

Carlos is a passionate individual for investments and technology with a long/short equity analysis and portfolio management experience approach that combines 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. Carlos has experience as Investment Analyst, Head of Equities, and Portfolio Manager running long-only and long/short equity mandates (+$1 bn AuM) attaining double-digit annual 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, CQF (Certificated in Quantitative Finance) and 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 very interested in developing machine learning models using alternative and conventional data in order to blend fundamental and quantitative methodologies that allows him to continue delivering sound annual investment returns.

Articles Contributed by Carlos Salas Najera

Alumni

Stocks Pair Trading and VAR analysis applied to Stocks

by Carlos Salas Najera
Oct 18, 2019
The skills I demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC...
Continue Read
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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Big Data

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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Data Visualization

Studying Data to Predict Movie Stocks Sentiment

by Carlos Salas Najera
Jan 19, 2017
The skills the author demoed here can be learned through taking Data Science with Machine Learning bootcamp with...
Continue Read

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