Marcos Frago Vicente

Bis 2023, Embedded Software Engineer, EnOcean GmbH

Munich, Deutschland

Über mich

After 20 years as a firmware developer at EnOcean GmbH in Oberhaching, Bavaria, I'm shifting my career towards Data Science for new challenges. I'm highly motivated and have self-learned skills, including Python libraries like NumPy, Pandas, Matplotlib, Seaborn, and basic SQL knowledge. I possess a well-honed analytical mind, cultivated over years solving firmware development challenges in microcontrollers. I'm naturally curious, a team player, and dedicated to quality work. With two master's degrees in Physics and Electronic Engineering, language proficiency, and international experience, including a year of Erasmus in Sweden, I'm confident in my abilities. I believe I can bring value to a company in Munich or nearby. Thank you for your attention, and I'm happy to provide more information about my profile if interested.

Fähigkeiten und Kenntnisse

C
Microcontrollers
Embedded Software
Embedded Systems
Real Time Programming
C++
Assembler
C#
STM32
PIC
MSP430
8051
I2C
RS232
SPI
Enterprise Architecture
Keil µVision IDE
Microchip MPLAB IDE
IAR Embedded Workbench IDE
SVN
Doxygen
Jenkins
Python
Python pandas
Python NumPy
Git
Jira
Cmake
Physics
Electronics
Software
Engineering
Software Development
German
Firmware
English Language
Mikrocontroller
Analytical Skills
Team Player
Machine Learning
Deep Learning
Data Science
Microsoft Power BI
SQL
Data
Data Analysis
Data visualisation

Werdegang

Berufserfahrung von Marcos Frago Vicente

  • 20 Jahre und 5 Monate, Mai 2003 - Sep. 2023

    Embedded Software Engineer

    EnOcean GmbH

    Embedded software development using STMicro STM32L0, 8051, Microchip PIC low-end variants and TI MSP430 MCUs. I have worked extensively with the sub-gigahertz radio chips STMicro LP-SP2 and the TI CC1101. My programming skills include C, Python and assembler languages. SPI, I2C, UART peripherals and EnOcean protocols. I excel in specification, design, implementation, testing, debugging and documentation. Additionally, I am have experience in using Git, SVN, Doxygen, CMake, GCC, Google Test and Pytest.

Ausbildung von Marcos Frago Vicente

  • 4 Monate, Okt. 2023 - Jan. 2024

    Data Science Bootcamp

    DataScientest (La Sorbonne)

    400h intensive course including practical project in weather prediction. The course included following topics: python for data science, numpy, pandas, visualisation via matplotlib and seaborn, git and bash, machine learning using classification and regression models, deep learning, time series, dimension reduction, text mining, SQL.

  • 10 Monate, Sep. 2001 - Juni 2002

    Electronics

    KTH Stockholm, Sweden

  • 1 Jahr und 9 Monate, Okt. 1999 - Juni 2001

    Electronics

    University Complutense de Madrid, Spain

  • 5 Jahre und 9 Monate, Okt. 1993 - Juni 1999

    Physics

    University Autonoma de Madrid, Spain

Sprachen

  • Spanisch

    Muttersprache

  • Englisch

    Fließend

  • Deutsch

    Fließend

  • Schwedisch

    Grundlagen

  • Russisch

    Grundlagen

Interessen

Hiking
Classic Movies
Fiction Books

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