Lizz

Data Scientist

https://talent.gravityer.com/lizz

Computer Science M.Sc.

TU Darmstadt

Key Strengths

Demonstrated interest in machine learning and data science through personal projects like 'neural-cellular-automata' and 'ADL-recognition-with-wrist-worn-accelerometer'.
Proficiency in Python, a core language for Data Science, as evidenced by its use across all listed projects.
Experience with Jupyter Notebooks, a common tool for data exploration and model development.
Exposure to various data science sub-fields including reinforcement learning ('MDP_HMM_Solvers') and signal processing ('ADL-recognition-with-wrist-worn-accelerometer').

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, indicating a strong self-driven learning approach. However, the lack of team-based or collaborative projects makes it difficult to assess cultural fit in a professional team environment. The single professional experience listed is current and recent, limiting the ability to evaluate long-term commitment or adaptability.

Soft Skills & Operational Fit

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

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Assessing your cultural and operational fit

Projects

Advent-of-Code-2025

December 1, 2025 – December 8, 2025

My solution to the advent of code 2025 challenge: https://adventofcode.com/

View Project

macaw

June 11, 2023 – August 11, 2023

MACAW (Mobile Augmented Campus Assistant for Wayfinding)

View Project

neural-cellular-automata

May 23, 2023 – July 8, 2023

combine neural nets and cellular automata

View Project

ADL-recognition-with-wrist-worn-accelerometer

May 9, 2023 – August 27, 2023

ADL recognition with wrist worn accelerometer

View Project

MDP_HMM_Solvers

October 20, 2021 – May 13, 2023

Comparison of RL algorithms (Bandit, Q-Learning etc.) to similar algorithms that use inference. Psi-Auto as an algorithm that automatically tunes the inverse temperature.

View Project

Benchmarking-MPC-Solvers

December 7, 2020 – August 21, 2021

Benchmarking-MPC-Solvers — GitHub repository

View Project

Key Strengths

Demonstrated interest in machine learning and data science through personal projects like 'neural-cellular-automata' and 'ADL-recognition-with-wrist-worn-accelerometer'.
Proficiency in Python, a core language for Data Science, as evidenced by its use across all listed projects.
Experience with Jupyter Notebooks, a common tool for data exploration and model development.
Exposure to various data science sub-fields including reinforcement learning ('MDP_HMM_Solvers') and signal processing ('ADL-recognition-with-wrist-worn-accelerometer').

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Lizz

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit