Nerses Wolf

Data Scientist

https://talent.gravityer.com/nerses-wolf

Currently, I am pursuing my passion of freelance projects in the areas of Artificial Intelligence and Biomedical Engineering. M.Sc. Electrical Engineering

Berlin, Berlin, Germany

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'Vanilla-Gradient-and-LRP-Methods-with-Convolutional-Neural-Networks' and 'Classification-of-tongue-pumping-movements'.
Experience with Python and Jupyter Notebook, which are core tools in Data Science.
Exposure to various classification algorithms (Decision Tree, Random Forest, K-Nearest Neighbors, SVC) indicates foundational knowledge in supervised learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a diverse range of interests from embedded systems (C++, ATmega8) to web technologies (HTML, JavaScript) and data processing (Java), alongside machine learning. This breadth suggests adaptability and a curious mindset. The focus on personal projects indicates self-motivation. However, without team-based project experience or psychometric data, cultural fit assessment is limited.

Soft Skills & Operational Fit

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

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Projects

Control-logic-of-the-power-supply-for-audio-signals-in-C-with-ATmega8

March 22, 2020 – March 22, 2020

The task is to control the VCA and the VCO with ATmega8 and to produce sounds for a selfmade alarm clock.

View Project

process-raw-data-coming-from-a-mass-spectrometer-with-Java

March 21, 2020 – March 25, 2020

IntelliJ IDE project to pre‐process the raw data and find the peak start and end point for each peak and report them

View Project

Vanilla-Gradient-and-LRP-Methods-with-Convolutional-Neural-Networks

March 6, 2020 – March 7, 2020

Vanilla-Gradient-and-LRP-Methods-with-Convolutional-Neural-Networks — GitHub repository

View Project

3D-Simulation-of-a-Virtual-Quadcopter-with-HTML-JavaScript-WebSocket-MatLab-SimuLink

March 4, 2020 – March 31, 2020

Controller design for a quad copter using various control loop mechanisms (proportional or/and integral or/and derivative controller)

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Classification-of-tongue-pumping-movements

March 3, 2020 – March 4, 2020

Machine Learning example with Decision Tree Classifier, Random Forest Classifier, K-Nearest Neighbors Classifier, SVC - Support Vector Classification, Linear SVC etc.

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'Vanilla-Gradient-and-LRP-Methods-with-Convolutional-Neural-Networks' and 'Classification-of-tongue-pumping-movements'.
Experience with Python and Jupyter Notebook, which are core tools in Data Science.
Exposure to various classification algorithms (Decision Tree, Random Forest, K-Nearest Neighbors, SVC) indicates foundational knowledge in supervised learning.

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 provided.

Nerses Wolf

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit