Johan Lundberg

Data science graduate from IT University of Copenhagen with a focus on deep learning, computervision and generative models such as denoising diffusion models.

Junior data scientist, Banking Circle, Oct 2021- Mar 2022.

Developed the visualizations of a Django web application to help the anti-

money laundering department spot suspicious activity. For this, I used Plotly,

plotly graph objects, pandas, numpy and matplotlib.

Data scientist, Flowplan, Nov 2020 - Nov 2021.

Created an ML pipeline consisting of data cleaning, formatting, engineering,

validation and model prediction. Developed and served models using Scikit-

learn and Flask to predict the type of coffee being made by different coffee machines and the type of coffee machine. Annotated data using HDBSCAN, a rule-based system and 3D visualizations. Queried and explored the data by using pymysql, pandas and jupyter notebooks.

Cand.scient data science 2021-2023