Lars Wächter

Data Scientist

https://www.opentalent.in/lars-wachter

software engineer @ C24 Bank

C24 Bank

Key Strengths

Demonstrated proficiency in Python, JavaScript, and TypeScript through various personal projects.
Experience with machine learning (TensorFlow, CNNs) and data processing (OpenCV) relevant to a Data Scientist role.
Exposure to containerization (Dockerfile) and scripting (Shell) indicates practical development skills.
Actively working as a Data Scientist at C24 Bank, indicating direct role relevance.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal development and exploration across various technologies, including web development, CLI tools, and machine learning. This indicates a proactive and curious mindset. However, the majority of projects are personal and lack explicit team collaboration or large-scale system involvement, which might be a consideration for cultural fit in a collaborative enterprise environment. The current role as a Data Scientist aligns well with the target role, but the experience level is not specified beyond '0', which is contradictory to having a current full-time role. The diversity of projects suggests adaptability, but also a potential lack of deep specialization in core data science areas beyond the 'quickdraw-cnn' and 'schlaumeier' projects.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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

clison

March 7, 2026 – Present

CLI for beautifully printing JSON data in terminal.

View Project

tokemon

November 29, 2025 – November 30, 2025

A Node.js library for reading streamed JSON.

View Project

markular

August 20, 2025 – Present

A lightweight Markdown Editor for Angular.

View Project

schlaumeier

March 1, 2023 – March 20, 2023

Automatically solve Android quiz games using OpenCV & ChatGPT🧙‍♂️

View Project

nodejs-api-testing

November 20, 2022 – November 24, 2022

An example app on testing Node.js REST APIs with Jest, Supertest & Chai

View Project

voici.js

March 7, 2022 – December 5, 2025

A Node.js library for pretty printing your data on the terminal🎨

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quickdraw-cnn

February 19, 2022 – March 7, 2023

A convolutional neural network using Tensorflow and Google's Quick, Draw! dataset to recognize hand drawn images.

View Project

My-Cargonaut

December 1, 2021 – March 17, 2022

MyCargonaut repository for KMS WiSe 21/22

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expressjs-api

July 10, 2021 – June 30, 2022

An example Node.js REST-API built with TypeScript & Express.js

View Project

listing.js

October 9, 2017 – March 6, 2023

A JavaScript library for working with comma separated lists.

View Project

Key Strengths

Demonstrated proficiency in Python, JavaScript, and TypeScript through various personal projects.
Experience with machine learning (TensorFlow, CNNs) and data processing (OpenCV) relevant to a Data Scientist role.
Exposure to containerization (Dockerfile) and scripting (Shell) indicates practical development skills.
Actively working as a Data Scientist at C24 Bank, indicating direct role relevance.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Lars Wächter

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit