Patrik Wagner

Data Scientist

Project Portfolio

Regional Conflict Modelling

Developing classification models to predict regional conflict severity.

Customer Segmentation

Using a K-means clustering model to discover customer segments.

Predicting unique website visitors using a Tensorflow time series model.

NLP Wine Recommender

Building an item-based recommender system using an NLP model to recommend wines. Deployed using Streamlit.

Qualifications

Data Science Immersive

The Data Science Immersive run by General Assembly is a 480 hour course, covered all aspects of the data science process framework - from data collection and cleaning to model design and implementation. The course provides expert guidance in preparing students for techincal positions, and the course culminates in a month long capstone project where students have the opportunity to showcase their skills.

Core Technologies: Python, Scikit-Learn, Pandas, Github, SQL

Exposure to: AWS, Databricks, Apache Spark, PostgreSQL, Tableau, Tensorflow, Statsmodels

Certified Tensorflow Developer

This level one certificate exam tests a developers foundational knowledge of integrating machine learning into tools and applications. The certificate program requires an understanding of building TensorFlow models using Computer Vision, Convolutional Neural Networks, Natural Language Processing, and real-world image data and strategies.


You can view TensorFlow Developer Certificate holders on our Credential Network at TensorFlow.org/Certificate-Network.