Maximilian Bundscherer

Data Scientist

https://talent.gravityer.com/maximilian-bundscherer

Signal Processing & Machine Learning

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'telegram-analysis' and 'ml-sdr'.
Proficiency in Python, a core language for data science, as seen across multiple projects.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to diverse technologies including C++, Scala, and various scripting languages, indicating adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards personal, self-driven projects, which could indicate a proactive and curious mindset. However, the projects are highly diverse, ranging from SDR to encrypted messaging and Scala web servers, which, while demonstrating breadth, do not consistently align with a dedicated 'Data Scientist' profile. The single listed professional experience as 'Data Scientist' is current but lacks details, making it difficult to assess alignment with a specific organizational culture or team collaboration style. The lack of team-based projects or contributions makes it hard to gauge collaborative fit.

Soft Skills & Operational Fit

The provided data is insufficient to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

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

ADIF-Log-Analyzer

December 5, 2024 – Present

A python tool for analysing and visualising ADIF logbook files

View Project

RemoteRadioBeacon

June 7, 2024 – June 6, 2025

An application to remotely rotate the antenna, set transmission parameters and transmit.

View Project

independer-loras

June 20, 2022 – November 29, 2022

Independer: Encrypted messaging & data sharing via LoRaS & inexpensive hardware (ESP32). Independent from mobile network & WIFI.

View Project

a-sdr

March 4, 2022 – June 29, 2024

Just another Software-defined radio (SDR) project and page.

View Project

ml-sdr

December 18, 2021 – March 4, 2022

Just another approach to do machine learning stuff on software defined radio. 2D/3D Scanner included.

View Project

telegram-analysis

December 11, 2020 – April 15, 2022

Just another telegram data science (mining) project.

View Project

scala-webserver-GnuPG

November 3, 2020 – November 9, 2020

GnuPG Webserver written in Scala based on GnuPG-Shell. Docker container included.

View Project

PiHomeScreen

March 20, 2020 – March 30, 2023

Raspberry Pi Home Screen (Scala + ScalaFX)

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prototype-scala-raft

November 17, 2019 – January 8, 2020

Protoype Raft Consensus Algorithm in Scala

View Project

akka-serialization-comparison

November 26, 2018 – January 6, 2020

This project compares different serializers can be used in akka projects (for example in persistence or cluster)

View Project

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'telegram-analysis' and 'ml-sdr'.
Proficiency in Python, a core language for data science, as seen across multiple projects.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to diverse technologies including C++, Scala, and various scripting languages, indicating adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

The provided data is insufficient to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

Maximilian Bundscherer

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit