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π§ Data Scientist with a Neuroscience Background: My focus these days is transforming data into actionable insights, full stop. For over ten years, I pursued neuroscience in academic settings. I still love neuroscience and hope to contribute to the field through my life's work. That said, I'm a data scientist who wants to rigorously follow analyses wherever they logically go. I want to find meaning in the mess and generate predictive models, domain-agnostic. Let's grow our collective knowledge through data!
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π Current Focus: Deepening my knowledge of machine learning and diving into deep learning techniques. Currently focused on: PyTorch, Language AI, and Computer Vision
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π± Learning Goals: Expanding my expertise in areas like neural networks, computer vision, RNNs/NLP/transformers, and model interpretability.
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π¬ Let's Chat About: Machine learning, statistics, Python, neuroscience, or anything data-related.
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and a bunch of others!
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β‘ Fun fact - I am an investor in a coffee shop and roasting company in Brooklyn, NYC β. Always up for coffee and data talk!
- Brooklyn, NY
- in/migueldiazacevedo
- miguelandresdiazacevedo
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retail_lending_risk
retail_lending_risk PublicMachine Learning-based Risk Assessment for Retail Lenders -- Proof of Concept using Home Credit Data
Jupyter Notebook 1
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stroke_risk_prediction
stroke_risk_prediction PublicPredictive modeling of stroke events
Jupyter Notebook 1
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travel_insurance_prediction
travel_insurance_prediction PublicModel data regarding travel insurance purchases
Jupyter Notebook 1
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podcast_reviews
podcast_reviews PublicAnalyze data from SQLite database of Podcast Reviews
Jupyter Notebook 1
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mental_health_tech_survey
mental_health_tech_survey PublicUse SQL and Pandas to query mental health in tech surveys from 2014-2019
Jupyter Notebook 1
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mushroom_classifier
mushroom_classifier PublicDeep learning PyTorch model for classifying mushroom species from images by leveraging transfer learning techniques
Jupyter Notebook 1
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