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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
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.
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.
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.
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.
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.
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
2010-01 - 2016-01