I'm a data scientist skilled in a variety of machine learning techniques. Currently, looking for full time roles or contracts that involve a substantial amount of machine learning.
My focus is machine learning. This includes conducting exploratory data analysis (Bokeh, Pandas), collecting/storing data (SQL, NoSQL, S3), preprocessing data (Pandas, Spark), refactoring/training models (Tensorflow, PyTorch, scikit, XGBoost), deploying models (Docker, Flask, Seldon, Kubeflow), and monitoring model's performance once in production (Prometheus, Kubeflow A/B tests, etc).
I have 2+ years of experience related to a variety of data tasks. I'm interested in machine learning engineering and data scientist positions. I'm might possibly be interested in data engineering positions as well depending on the tech stack and the amount of ML involved.
Remote: Yes
Willing to relocate: NYC or Denver
Technologies: Python(Numpy, Tensorflow, PyTorch, Pandas, Bokeh, scikit-learn), Docker, GCP(BigQuery, GCS, Pub/Sub)/AWS, SQL
Resume: https://isaacmg.github.io/resume.pdf
Email: igodfried@isaac26.com
LinkedIn: https://www.linkedin.com/in/isaac-godfried-70874466/
I'm a data scientist skilled in a variety of machine learning techniques. Currently, looking for full time roles or contracts that involve a substantial amount of machine learning.