Katarina Supe
Data ScientistDeveloper Experience Engineer @ Memgraph
memgraph
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Developer Experience Engineer @ Memgraph
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
memgraph
Data Scientist
June 22, 2026 – Present
helm-charts
July 17, 2023 – Present
Helm charts for deploying Memgraph, an open-source in-memory graph database.
View Projectgraph-landscape-2022
February 4, 2022 – May 27, 2022
A graph visualization of popular graph technologies and companies
View Projecttwitter-network-analysis
December 7, 2021 – July 13, 2022
Analyzing a network of tweets and retweets using graph algorithms
View Projectkafka-offset-demo
November 28, 2021 – November 28, 2021
Demo showing how Kafka users can manually set the offset of the next consumed message with a call to the query procedure.
View Projectjupyter-memgraph-tutorials
November 3, 2021 – December 20, 2024
Learn to use Memgraph with the help of Jupyter Notebooks
View Projectdata-streams
October 29, 2021 – August 2, 2024
Publicly available real-time data sets on Kafka, Redpanda, RabbitMQ & Apache Pulsar
View Projectapp-challenge-starter-pack
July 19, 2021 – December 21, 2021
A Python starter pack for building streaming applications with Memgraph.
View Projectdocs
June 27, 2018 – September 18, 2023
The official documentation for Memgraph, Memgraph Lab, GQLAlchemy and MAGE
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards open-source contributions and community-driven projects, particularly around Memgraph. This suggests a collaborative and knowledge-sharing mindset. The diversity of technologies used across projects (Python, JavaScript, C++, Go Template, Shell, Cypher) indicates adaptability and a willingness to explore different tools. However, the projects are heavily skewed towards graph databases and related infrastructure, which might indicate a specialized focus rather than broad data science application diversity. The lack of formal education or certifications in the provided data makes it difficult to fully assess academic background or structured learning preferences.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond what can be inferred from project descriptions and role alignment. The psychometric test score is 0, indicating no data for this assessment.