Douwe den Blanken

Data Scientist

https://talent.gravityer.com/douwe-den-blanken

PhD student in Microelectronics. Previously MSc Embedded Systems and BSc in Aerospace Engineering student at Delft University of Technology.

Webcellence

Key Strengths

Extensive personal project experience in machine learning and deep learning, particularly with PyTorch.
Demonstrated proficiency in Python for data science and machine learning tasks.
Experience with neural network quantization (Brevitas) and various CNN/RNN architectures (TCN, LSTM, Viola-Jones).
Current role as a Data Scientist at Webcellence indicates direct industry experience.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards individual, research-oriented development. While this demonstrates initiative and technical depth, the lack of team-based projects or explicit collaboration in the descriptions makes it difficult to assess cultural fit for a collaborative team environment. The target role is Data Scientist, which aligns with the technical skills, but the experience level is listed as 0, which contradicts the current employment. This discrepancy needs clarification.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

autolightning

May 22, 2024 – Present

Automating PyTorch Lightning via simple yet expressive configurations

View Project

cnn.c

March 9, 2024 – March 19, 2024

C implementation of basic CNN modules

View Project

brevitas-utils

October 20, 2023 – Present

Various utilities for the Brevitas (https://github.com/Xilinx/brevitas) framework for neural network quantization in PyTorch

View Project

TCN-library

October 20, 2023 – Present

This project builds on top of the TCN in https://github.com/locuslab/TCN and extends it with ResNeXt style blocks and depthwise separable convolutions.

View Project

parametrizable-floating-point-verilog

October 19, 2023 – March 13, 2025

Educational verilog library that supports IEEE754 floating point arithmetic with a parametrizable mantissa and exponent

View Project

torch-mate

December 16, 2022 – Present

Various tools/utilities for PyTorch

View Project

LSTM-Sequential-MNIST

September 28, 2022 – September 28, 2022

Reference performance of an LSTM in PyTorch for the sequential MNIST task

View Project

viola-jones-python

December 18, 2021 – January 8, 2022

The simplest Python Viola Jones implementation

View Project

equation-editor-react

December 23, 2019 – June 12, 2023

Equation editor based on Mathquill for React web apps

View Project

xfoil-docs

December 9, 2019 – December 24, 2019

Formatted version of the original XFOIL documentation as created by Mark Drela from MIT

View Project

Key Strengths

Extensive personal project experience in machine learning and deep learning, particularly with PyTorch.
Demonstrated proficiency in Python for data science and machine learning tasks.
Experience with neural network quantization (Brevitas) and various CNN/RNN architectures (TCN, LSTM, Viola-Jones).
Current role as a Data Scientist at Webcellence indicates direct industry experience.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Douwe den Blanken

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit