Noah Lackenberger

Data Scientist

https://talent.gravityer.com/noah-lackenberger

RISE-World

Key Strengths

Current role as Data Scientist at RISE-World indicates direct relevance to the target role.
Exposure to various programming languages including C++, Java, Scala, and Python (implied by Jupyter Notebook usage) demonstrates foundational technical versatility.
Experience with Jupyter Notebook suggests familiarity with data exploration and analysis environments.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, showcasing a breadth of technologies (C++, Java, Scala, PHP, TypeScript, HTML, CSS, Assembly). This indicates a willingness to explore different areas. However, the lack of team-based or larger-scale projects limits the assessment of collaborative cultural fit. The current Data Scientist role aligns with the target, but project diversity is broad rather than deeply focused on data science.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

FRP1

October 10, 2025 – Present

Functional and Reactive Programming (SE.ma VZ WS25)

View Project

SWT6

March 4, 2025 – April 1, 2025

SWT6 — GitHub repository

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WEA5

November 12, 2024 – November 12, 2024

Repo containing WEA5 content

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SWK5_Hagenberg

October 2, 2024 – January 8, 2025

Repository for code produced in SWK5 (FH Hagenberg)

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SCR4_Produktbewertungsportal

June 20, 2024 – June 23, 2024

SCR4_Produktbewertungsportal — GitHub repository

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SCR4_Bookshop

June 3, 2024 – June 17, 2024

SCR4_Bookshop — GitHub repository

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nlbgr_LEMur

March 12, 2024 – October 14, 2024

nlbgr_LEMur — GitHub repository

View Project

Key Strengths

Current role as Data Scientist at RISE-World indicates direct relevance to the target role.
Exposure to various programming languages including C++, Java, Scala, and Python (implied by Jupyter Notebook usage) demonstrates foundational technical versatility.
Experience with Jupyter Notebook suggests familiarity with data exploration and analysis environments.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Noah Lackenberger

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit