Stian Ulriksen

Data Scientist and Engineer


Location

Denver, CO

Phone

303.506.7713

Intro

Data Engineer and Scientist with proven analytical, modeling, leadership, and big data engineering skills, seeking to enable insight and growth through data driven decisions.

Stian Ulriksen has half a decade of experience working with data science and data engineering in a variety of industries. Stian has demonstrated advanced skills in developing machine learning algorithms, data models, econometric models, intuitive visualizations and reporting dashboards.

Stian specializes in communicating data and technical terminology in an easy to understand manner for clients of varying backgrounds.

Expertise

01

Linear & Non-Linear Regressions

One of the most common tools to make inferences and predictions.

02

Logistic Regressions

A foundational concept for making classifications.

03

Data Modeling and Architecture

Modeling a database correctly following best practices is key for performance.

04

Neural Networks

Utilizes iterative learning process common in classification, forecasting, and predicting.

05

ETL/ELT Design and Development

Solid ETL/ELT workflows are the foundation to a strong data warehouse.

06

Data Visualization

Data can be difficult to understand if it is not presented correctly.

Skills

90%

Python

80%

Advanced SQL and NoSQL

85%

Pandas & Numpy

75%

Scikit-Learn

75%

TensorFlow

70%

AWS, Azure, & Google Cloud

Experience

February 2020 – Present

Crocs

Data Engineer

Broomfield, CO

Developed, tested, and maintained data pipelines and related architectures within the Azure platform. Worked as a team lead/mentor to help facilitate the usage of more sophisticated analytics/data science throughout the organization.

January 2019 – February 2020

Datalere Consulting

Data Scientist

Denver, CO

Successfully managed data science teams and project life cycles from inception to production.
Designed and deployed linear and non-linear machine learning models.
Built repeatable, functional production-ready data science code for clients.

October 2015 – December 2018

IntelePeer Cloud Communications

Analyst

Centennial, CO

Designed and Implemented Machine Learning Models in Python (Sklearn, Pandas, Numpy).
Deployed intuitive and easy to understand visualizations through Power BI and SiSense.
Devised complex pricing models employing Econometric Modeling to maximize revenue.

Education

2015 – 2016

University of Colorado

Master of Arts in Economics

Denver, Colorado

2011 – 2014

University of Oklahoma

Bachelor of Business Administration, Economics

Norman, Oklahoma

2011 – 2014

University of Oklahoma

Bachelor of Business Administration, Finance

Norman, Oklahoma