David Fernandez Fernandez

Data Scientist

https://talent.gravityer.com/david-fernandez-fernandez

Postdoc in theoretical condensed matter physics at Uni-A. Main research areas: Quantum computing, spin qubits, and quantum optimal control. Also HPC.

University of Augsburg

Key Strengths

Strong foundational knowledge in Python for scientific computing and data manipulation, evidenced by numerous personal projects.
Extensive experience with Jupyter Notebooks for research, data exploration, and visualization.
Demonstrated ability to apply computational methods to complex scientific problems, particularly in quantum physics and related fields.
Experience in developing libraries and scripts for specific computational tasks (e.g., HEEM, ParameterRun).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily concentrated in academic/research-oriented computational physics and quantum computing. While demonstrating strong technical depth in these niche areas, the breadth of exposure to typical industry data science problems (e.g., machine learning, big data, A/B testing, business intelligence) is limited. This might indicate a potential gap in cultural fit for a general industry Data Scientist role, but could be a strong fit for research-focused data science positions.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's projects indicate a strong focus on independent research and development.

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Projects

ParameterRun

March 25, 2026 – Present

Function to simplify the implementation of parallel runs of a given fucntions with no dependencies between runs

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geodesiq-control

March 10, 2026 – Present

Development of geodesiq Python package for optimal pulse control.

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Long_range_QQD

July 22, 2025 – July 22, 2025

Jupyter notebooks to reproduce the figures shown in the manuscript titled: Long-range spin transport in asymmetric quadruple quantum dot configurations

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Alpha-beta-hypergeo

April 8, 2025 – April 8, 2025

Jupyter notebooks and scripts to reproduce all the figures in the article: Unifying adiabatic state-transfer protocols with (α, β)-hypergeometries.

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arXiv-sorter

September 23, 2023 – Present

Sort the daily arXiv mail list by user keyworks, and output the manuscripts in a nice markdown.

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Tunable-emission-metasurfaces

February 3, 2022 – February 8, 2022

Codes to reproduce the figures shown in the article: Tunable directional emission and collective dissipation with quantum metasurfaces.

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HEEM

April 21, 2021 – Present

Library to implement the Variational Quantum Eigensolver (VQE) using hardware-efficient entangled measurements to estimate the energy

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TFM

May 14, 2020 – June 12, 2020

Master's Thesis 2019-2020

View Project

Key Strengths

Strong foundational knowledge in Python for scientific computing and data manipulation, evidenced by numerous personal projects.
Extensive experience with Jupyter Notebooks for research, data exploration, and visualization.
Demonstrated ability to apply computational methods to complex scientific problems, particularly in quantum physics and related fields.
Experience in developing libraries and scripts for specific computational tasks (e.g., HEEM, ParameterRun).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's projects indicate a strong focus on independent research and development.

David Fernandez Fernandez

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit