machine learning engineer - (data)scientist - reformed quant - habitual coder - PhD
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
novonordisk
Data Scientist
June 23, 2026 – Present
bodywork-ml-pipeline-project
November 11, 2020 – May 1, 2022
Deployment template for a continuous training pipeline.
View Projectml-workflow-automation
February 11, 2019 – February 15, 2023
Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.
View Projectkubernetes-mlops
January 28, 2019 – October 18, 2024
MLOps tutorial using Python, Docker and Kubernetes.
View Projectpymc-stochastic-process
January 4, 2019 – February 18, 2019
Bayesian Inference and parameter estimation in quant finance.
View Projectpy-package-template
November 9, 2018 – August 7, 2023
Python package template project for kick-starting new Python projects.
View Projectpy-docker-aws-example-project
July 3, 2018 – February 2, 2023
Automated testing and deployment of a simple Flask-based (RESTful) micro-service to a production-like environment on AWS, using Docker containers and Travis-CI.
View Projectpymc-example-project
January 16, 2018 – February 21, 2019
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
View Projectpyspark-example-project
December 28, 2017 – January 1, 2023
Implementing best practices for PySpark ETL jobs and applications.
View Projectelasticsearchr
March 13, 2015 – September 9, 2020
Lightweight Elasticsearch client for R.
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal, which demonstrates initiative and self-driven learning. However, the lack of team-based or collaborative project descriptions makes it difficult to assess cultural fit in a professional team environment. The projects are highly aligned with a Data Scientist role, showing strong domain interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects indicate a focus on technical implementation and automation.