DATA SCIENCE TEAM

Daniel Martin-Alarcon

Senior Data Scientist

California, USA

Expertise

Languages

Python

Machine Learning

Deep neural networks, transfer learning, NLP, CNNs, regression, classification, clustering, dimensionality reduction, model ensembles, pandas, numpy, scikit-learn, PyTorch, fast.ai

Productionization

AWS, Terraform, Serverless Framework, Docker, Luigi, CircleCI

Past Experience

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

Industry Experience

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.

Extracurriculars

In addition to solving complex machine learning problems, Daniel also likes bicycling, running, and cooking.