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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ml_memory_analyser
May 25, 2023 – May 17, 2023
Utilities to explore runtime memory usage of machine learning models
View Projectmram_simulation_framework
June 23, 2021 – Present
MRAM magnetization simulation framework. s-LLGS python and verilog-a solvers for transients simulation and Fokker-planck equation solver for stochastic analysis
View Projectcoco_mcu
June 10, 2019 – June 19, 2019
Javier Fernández Marques & Fernando García Redondo proposal for Visual Wake Words Challenge@CVPR 2019
View Projectrram_multilevel_driver
October 6, 2017 – September 6, 2018
Architecture for RRAM multilevel programming
View Projectddr_MIG_ctrl_interface
August 2, 2017 – August 3, 2017
ddr_MIG_ctrl_interface — GitHub repository
View Projectvlsi_memristor_compact_model
May 9, 2016 – October 31, 2019
Physical memristor/RRAM/resistive switching device SPICE compact model, that is able to accurately fit both unipolar/bipolar devices settling to its current-voltage relationship.
View Projectcircuit_reliability_framework
April 29, 2016 – July 4, 2017
Circuit Simulation Framework, reliability oriented
View ProjectFVM
June 21, 2013 – April 22, 2024
Finite volume method applied to the advection-diffusion equation
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on hardware design, VLSI, and low-level simulations, which deviates significantly from a typical Data Scientist role. While Python is used, the application areas are specialized and not directly aligned with common data science tasks like predictive modeling, machine learning pipelines, or big data processing. This indicates a potential mismatch with a standard Data Scientist position, suggesting a need for significant upskilling in core data science domains.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.