Data Scientist Ringsted, Danmark

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(Aktualisiert 2020-12-21)

Data Scientist

Ringsted, Danmark

Einheimische English

  • Tableau
  • Machine learning
  • Python

Fähigkeiten (18)

Pyhton

DATA ANALYST

DATA VISUALIZATION

data

STATISTICS

TABLEAU SERVER

VISUALIZATION

Data Scientist

Machine Learning

API

Python

ETL

AWS

AI/ML

OPTIMIZATION

PROBLEM SOLVING

Cloud

Marketing

Berufserfahrung

Machine Learning, Intern
IIH Nordic

2018-10 - 2018-12

Developed a recommender system with collaborative filtering using TensorFlow.
Using Google Cloud for BigQuery and for deploying the machine learning model. Data Studio for website data analysis.

Data Scientist, Intern
Statens Serum institute

2018-06 - 2018-08

Optimization of the laboratory work using machine learning to classify the level of resistance in bacteria test images. Achieved 95% accuracy by building Convolution Neural Network in Tensorflow.

Data Scientist, Intern
DSB

2018-01 - 2018-02

Jupyter Notebook to visualise the time-series data of passangers on a train. SARIMA model and descriptive statistics to summarize the data. (Pandas)
Reduced model error by more than 20% by using random forrest regression (Scikit-Learn). This led to helping the company for better ticket price estimation.

Data Engineer
Rooftop Analytics

2020-10 - Jetzt

Machine learning integration between WordPress website and Google Cloud Platform to predict the outcome of a court case. Deploying and testing the machine learning model in Google Cloud Platform.

Data Engineer
Subcontractor

2020-02 - 2020-08

Data migration.
Saving cost by providing data from web scraping (Selenium). Creating dashboards in Tableau.
Improved performance of existing ETL pipelines in AWS.

Data Analyst
Barry Danmark

2019-01 - 2019-12

Developed and managed the ETL pipeline in AWS (S3/ Lambda/Stepfunctions).
Managed the data warehouse (OLAP) in Redshift. Implemented Tableau Server in AWS (EC2). Cleaning data further by using Tableau Prep.

Designed and prepared interactive dashboards in Tableau for the different stakeholders (KPI/forecasting).
Collaborated closely with the app/web developers to implement new features and retrieve new data to understand the customer journey better.

Analyzing raw log data from different app/website tracking SDK tools which helped the marketing team with better customer acquisition. But also supporting UX-team to create a better app design and user experience (Big Query/API).

Akademischer Hintergrund

Master of Science in Physics
University of Copenhagen

2010-01 - 2016-01

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