
Computer Engineer
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
mocap-sensor-hub
August 17, 2020 – August 17, 2020
Sensor Hub for Inertial measurement unit based modules.
View ProjectCodingProblems
January 14, 2019 – July 3, 2020
A collections of coding exercises to practice problem solving.
View ProjectDigital_Signal_Processing
December 11, 2018 – December 11, 2018
The basics of DSP concepts and algorithms in various programming languages.
View ProjectML_Bootcamp
April 17, 2018 – May 6, 2020
Repository for machine learning crash course in python and other languages.
View ProjectMotionCapture
January 21, 2018 – July 6, 2020
Inertial sensor based motion capture system.
View ProjectIMU_GestureClassifier
December 13, 2017 – April 23, 2018
Real-time recogniton and classification of various types of shots made in Badminton.
View ProjectIMU_Sword
February 26, 2017 – October 4, 2017
We handle a sword by using an inertial measurement unit BNO055.
View ProjectAR_Remote
September 24, 2016 – July 4, 2020
Repository for AR Remote controller made at Hackathon Ens 2016
View ProjectQuimicaEnTusManos
September 12, 2015 – September 12, 2015
Simulador de practicas de laboratorio de química en realidad virtual
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and heavily focused on C++ and hardware interaction, with a recent but limited exposure to Python and Machine Learning. While there's an interest in data, the direct alignment with a typical 'Data Scientist' role, which often emphasizes statistical modeling, advanced machine learning, and data visualization using Python/R, is moderate. The project diversity is good within the embedded/sensor domain, but less so for broader data science applications. The lack of professional experience or education details makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.