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ALRIER/README.md

Hey, I'm Álvaro 👋 ---> https://alrier.github.io/ALRIER/

psychologist · amateur programmer · perpetual learner

PhD in Psychology — consumer behavior & computational psychology. Got into data science almost by accident, and never looked back. I build small tools, run analyses, and explore ideas across disciplines just because it's interesting.

Currently working as a business value interviewer in portfolio management & investment analysis. On the side: researching, coding, and occasionally breaking things to understand them.

"Learning in public. Breaking things to understand them."

🛠️ Stack

Python R Jupyter pandas scikit-learn NumPy TensorFlow Tableau Git

🔍 What I'm up to

🎙️ working as · Business value interviewer — portfolio management & investment analysis
📊 researching · Data science, statistics, AI/ML and their applications across fields
🧠 building · Tools, analyses and experiments — from CNNs to bibliometrics
📚 always learning · Something I probably have no business learning yet

📌 Some things I've worked on

  • 🤖 Explainable AI & convolutional neural networks (CNNs)
  • 📈 Unsupervised ML — clustering, PCA, factor analysis
  • 🧬 Genetic algorithms in R
  • 📚 Bibliometric analyses (COVID, entomology, insect-based food)
  • 💬 Sentiment analysis & text as network
  • 📊 Big Data & omnichannel analytics

📬 Reach me

LinkedIn Tableau

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  1. MultilayerNetworks_InsectsPUB MultilayerNetworks_InsectsPUB Public

    Jupyter Notebook 2

  2. Fitbit_ML_MiniprojectKaggle Fitbit_ML_MiniprojectKaggle Public

    This was a mini project based

    Jupyter Notebook

  3. DataScience_WaterlooUniversity DataScience_WaterlooUniversity Public

    Jupyter Notebook

  4. Unsupervised-machine-learning Unsupervised-machine-learning Public

    This code contains 3 multivariate analyses. The first one is an exploratory Factor analysis and a principal components analysis, these statistical techniques based on a "dark tourism scale" created…

    Jupyter Notebook 8

  5. HR_MachineLearning HR_MachineLearning Public

    This is an exercise using an HR databases for making some predictions in python.

    Jupyter Notebook 6 2

  6. Sentiment_analysis Sentiment_analysis Public

    R 3