Senior Data Scientist
As a Senior Data Scientist at Very, Daniel Martin-Alarcon enjoys developing creative solutions to intricate problems that create positive impacts for Very's clients and the world at large.
Deep neural networks, transfer learning, NLP, CNNs, regression, classification, clustering, dimensionality reduction, model ensembles, pandas, numpy, scikit-learn, PyTorch, fast.ai
AWS, Terraform, Serverless Framework, Docker, Luigi, CircleCI
- Correlation One, Assistant Data Science Instructor
- Hinge Bio, Inc., Senior Research Scientist
- Open Philanthropy Project, Scientific Advisor
Awards & Certifications
- Machine Learning with Data Science Emphasis, Lambda School
Daniel is a PhD Synthetic Biologist turned Data Scientist. At Very, his focus is on developing scalable, production-ready machine learning pipelines for industrial applications.
In addition to solving complex machine learning problems, Daniel also likes bicycling, running, and cooking.