Miguel Andres Diaz migueldiazacevedo

Ayoo, friends! 👋
Hope you're doing well 😌

🧠 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 — finding meaning in the mess, generating predictive models, and turning them into decisions people act on. Let's grow our collective knowledge through data!
💼 Currently: Solutions Engineer at PredictHQ — applied data science & demand forecasting, helping teams at major enterprise brands turn real-world event signals into better time-series and business decisions.
🔭 Current Focus: demand forecasting, experimentation & causal inference, and building with LLMs / agentic tooling.
🌱 Learning Goals: sharpening causal inference & experimental design, time-series forecasting depth, and applied LLM/agent systems.
💬 Let's Chat About: Machine learning, statistics, Python, forecasting, neuroscience, or anything data-related.
🛠 Some Tools I like to use:
and a bunch of others!
📫 Contact Me: email or LinkedIn
⚡ Fun fact — I co-owned a coffee shop and roasting company in Brooklyn, NYC ☕. Always up for coffee and data talk!
🚧 In the works: an event-driven demand-forecasting + causal-lift project — coming soon to the pins below.