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Accenture
Data Scientist
June 27, 2026 – Present
bazel-monorepo-demo
November 17, 2021 – December 2, 2021
This is a project demonstrating monorepo setup with Bazel
View ProjectAI-showcase-app
December 20, 2019 – February 10, 2022
This is an application that runs a simple React app in the client displaying various AI cases we have implemented.
View ProjectDeep-Reinforcement-Learning-Hands-On
August 27, 2019 – November 21, 2022
This is the code material for the RL book written by maxim Lapan
View ProjectReinforcement-Learning-Workshop
August 5, 2019 – March 3, 2021
Necessary files and notebooks to host a RL workshop on AWS
View ProjectPython-course
June 5, 2019 – June 5, 2019
This is a basic Python course that offers an introduction in basic python, matplotlib, seaborn and pandas
View ProjectLangrennKrimDialogflow
January 29, 2019 – January 31, 2019
En påskekrim implementert som et spill i Dialogflow
View ProjectAI-workshop
August 30, 2018 – April 4, 2019
A workshop that briefly introduces concepts of data management and simple ML algorithms using easy-to-use python libraries
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing heavily on Python, Jupyter Notebook, and AI/ML workshops. While this aligns with a Data Scientist role, the lack of diverse team projects, open-source contributions beyond workshop materials, or varied industry applications limits the assessment of broader cultural fit and collaborative experience. The single professional experience listed is current and recent, offering limited historical context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insight into communication or work attitude.